Канал: Arxiv Papers

[QA] A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor ?

[QA] A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor ?

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor ?

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor ?

[QA] Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

[QA] Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

Making Text Embedders Few-Shot Learners

Making Text Embedders Few-Shot Learners

[QA] Making Text Embedders Few-Shot Learners

[QA] Making Text Embedders Few-Shot Learners

[QA] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

[QA] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

[QA] Infer Human's Intentions Before Following Natural Language Instruction

[QA] Infer Human's Intentions Before Following Natural Language Instruction

Infer Human's Intentions Before Following Natural Language Instruction

Infer Human's Intentions Before Following Natural Language Instruction

[QA] MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

[QA] MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

[QA] Counterfactual Token Generation in Large Language Models

[QA] Counterfactual Token Generation in Large Language Models

Counterfactual Token Generation in Large Language Models

Counterfactual Token Generation in Large Language Models

[QA] Characterizing stable regions in the residual stream of LLMs

[QA] Characterizing stable regions in the residual stream of LLMs

Characterizing stable regions in the residual stream of LLMs

Characterizing stable regions in the residual stream of LLMs

[QA] Watch Your Steps: Observable and Modular Chains of Thought

[QA] Watch Your Steps: Observable and Modular Chains of Thought

Watch Your Steps: Observable and Modular Chains of Thought

Watch Your Steps: Observable and Modular Chains of Thought

[QA] Seeing Faces in Things: A Model and Dataset for Pareidolia

[QA] Seeing Faces in Things: A Model and Dataset for Pareidolia

Seeing Faces in Things: A Model and Dataset for Pareidolia

Seeing Faces in Things: A Model and Dataset for Pareidolia

Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts

Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts

[QA] Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts

[QA] Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts

[QA] Style over Substance: Failure Modes of LLM Judges in Alignment Benchmarking

[QA] Style over Substance: Failure Modes of LLM Judges in Alignment Benchmarking

Style over Substance: Failure Modes of LLM Judges in Alignment Benchmarking

Style over Substance: Failure Modes of LLM Judges in Alignment Benchmarking

[QA] LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

[QA] LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

[QA] Embedding Geometries of Contrastive Language-Image Pre-Training

[QA] Embedding Geometries of Contrastive Language-Image Pre-Training

Embedding Geometries of Contrastive Language-Image Pre-Training

Embedding Geometries of Contrastive Language-Image Pre-Training

Kolmogorov–Arnold Transformer

Kolmogorov–Arnold Transformer

[QA] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

[QA] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

[QA] Kolmogorov–Arnold Transformer

[QA] Kolmogorov–Arnold Transformer

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

[QA] Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and Comparative Study with RMSNorm

[QA] Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and Comparative Study with RMSNorm

Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and a Comparative Study with RMSNorm

Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and a Comparative Study with RMSNorm

[QA] Is Tokenization Needed for Masked Particle Modelling?

[QA] Is Tokenization Needed for Masked Particle Modelling?

Is Tokenization Needed for Masked Particle Modelling?

Is Tokenization Needed for Masked Particle Modelling?

[QA] Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

[QA] Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

[QA] To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

[QA] To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

[QA] On the limits of agency in agent-based models

[QA] On the limits of agency in agent-based models

On the limits of agency in agent-based models

On the limits of agency in agent-based models

[QA] Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

[QA] Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

[QA] Finetuning CLIP to Reason about Pairwise Differences

[QA] Finetuning CLIP to Reason about Pairwise Differences

Finetuning CLIP to Reason about Pairwise Differences

Finetuning CLIP to Reason about Pairwise Differences

[QA] Think Twice Before You Act: Improving Inverse Problem Solving With MCMC

[QA] Think Twice Before You Act: Improving Inverse Problem Solving With MCMC

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC

[QA] Explaining Datasets in Words: Statistical Models with Natural Language Parameters

[QA] Explaining Datasets in Words: Statistical Models with Natural Language Parameters

Explaining Datasets in Words: Statistical Models with Natural Language Parameters

Explaining Datasets in Words: Statistical Models with Natural Language Parameters

[QA] LLMs Will Always Hallucinate, and We Need to Live With This

[QA] LLMs Will Always Hallucinate, and We Need to Live With This

LLMs Will Always Hallucinate, and We Need to Live With This

LLMs Will Always Hallucinate, and We Need to Live With This

[QA] PingPong: A Benchmark for Role-Playing LLMs with User Emulation and Multi-Model Evaluation

[QA] PingPong: A Benchmark for Role-Playing LLMs with User Emulation and Multi-Model Evaluation

PingPong: A Benchmark for Role-Playing LLMs with User Emulation and Multi-Model Evaluation

PingPong: A Benchmark for Role-Playing LLMs with User Emulation and Multi-Model Evaluation

[QA] LLaMA-Omni: Seamless Speech Interaction with Large Language Models

[QA] LLaMA-Omni: Seamless Speech Interaction with Large Language Models

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

[QA] WINDOWS AGENT ARENA: Evaluating Multi-Modal OS Agents at Scale

[QA] WINDOWS AGENT ARENA: Evaluating Multi-Modal OS Agents at Scale

WINDOWS AGENT ARENA: Evaluating Multi-Modal OS Agents at Scale

WINDOWS AGENT ARENA: Evaluating Multi-Modal OS Agents at Scale

[QA] What Makes a Maze Look Like a Maze?

[QA] What Makes a Maze Look Like a Maze?

What Makes a Maze Look Like a Maze?

What Makes a Maze Look Like a Maze?

[QA] Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

[QA] Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Synthetic continued pretraining

Synthetic continued pretraining

[QA] Synthetic continued pretraining

[QA] Synthetic continued pretraining

[QA] Agent Workflow Memory

[QA] Agent Workflow Memory

Agent Workflow Memory

Agent Workflow Memory

[QA] Programming Refusal with Conditional Activation Steering

[QA] Programming Refusal with Conditional Activation Steering

Programming Refusal with Conditional Activation Steering

Programming Refusal with Conditional Activation Steering

[QA] Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthes

[QA] Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthes

Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthes

Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthes

LoCa: Logit Calibration for Knowledge Distillation

LoCa: Logit Calibration for Knowledge Distillation

[QA] LoCa: Logit Calibration for Knowledge Distillation

[QA] LoCa: Logit Calibration for Knowledge Distillation

[QA] FreeAugment: Data Augmentation Search Across All Degrees of Freedom

[QA] FreeAugment: Data Augmentation Search Across All Degrees of Freedom

FreeAugment: Data Augmentation Search Across All Degrees of Freedom

FreeAugment: Data Augmentation Search Across All Degrees of Freedom

[QA] Theory, Analysis, and Best Practices for Sigmoid Self-Attention

[QA] Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Theory, Analysis, and Best Practices for Sigmoid Self-Attention

[QA] Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

[QA] Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

[QA] xLAM: A Family of Large Action Models to Empower AI Agent Systems

[QA] xLAM: A Family of Large Action Models to Empower AI Agent Systems

xLAM: A Family of Large Action Models to Empower AI Agent Systems

xLAM: A Family of Large Action Models to Empower AI Agent Systems

[QA] In Defense of RAG in the Era of Long-Context Language Models

[QA] In Defense of RAG in the Era of Long-Context Language Models

In Defense of RAG in the Era of Long-Context Language Models

In Defense of RAG in the Era of Long-Context Language Models

[QA] Building Math Agents with Multi-Turn Iterative Preference Learning

[QA] Building Math Agents with Multi-Turn Iterative Preference Learning

Building Math Agents with Multi-Turn Iterative Preference Learning

Building Math Agents with Multi-Turn Iterative Preference Learning

[QA] Attention Heads of Large Language Models: A Survey

[QA] Attention Heads of Large Language Models: A Survey

Attention Heads of Large Language Models: A Survey

Attention Heads of Large Language Models: A Survey

[QA] The AdEMAMix Optimizer: Better, Faster, Older

[QA] The AdEMAMix Optimizer: Better, Faster, Older

The AdEMAMix Optimizer: Better, Faster, Older

The AdEMAMix Optimizer: Better, Faster, Older

[QA] Planning In Natural Language Improves LLM Search For Code Generation

[QA] Planning In Natural Language Improves LLM Search For Code Generation

Planning In Natural Language Improves LLM Search For Code Generation

Planning In Natural Language Improves LLM Search For Code Generation

[QA] MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

[QA] MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

[QA] Sample what you can't compress

[QA] Sample what you can't compress

Sample what you can't compress

Sample what you can't compress

[QA] CONTEXTCITE: Attributing Model Generation to Context

[QA] CONTEXTCITE: Attributing Model Generation to Context

CONTEXTCITE: Attributing Model Generation to Context

CONTEXTCITE: Attributing Model Generation to Context

[QA] FLUX that Plays Music

[QA] FLUX that Plays Music

FLUX that Plays Music

FLUX that Plays Music

[QA] Modularity in Transformers: Investigating Neuron Separability & Specialization

[QA] Modularity in Transformers: Investigating Neuron Separability & Specialization

Modularity in Transformers: Investigating Neuron Separability & Specialization

Modularity in Transformers: Investigating Neuron Separability & Specialization

[QA] Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling

[QA] Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling

[QA] CycleGAN with Better Cycles

[QA] CycleGAN with Better Cycles

[QA] Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

[QA] Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

CycleGAN with Better Cycles

CycleGAN with Better Cycles

[QA] The Mamba in the Llama: Distilling and Accelerating Hybrid Models

[QA] The Mamba in the Llama: Distilling and Accelerating Hybrid Models

The Mamba in the Llama: Distilling and Accelerating Hybrid Models

The Mamba in the Llama: Distilling and Accelerating Hybrid Models

[QA] Generative Verifiers: Reward Modeling as Next-Token Prediction

[QA] Generative Verifiers: Reward Modeling as Next-Token Prediction

Generative Verifiers: Reward Modeling as Next-Token Prediction

Generative Verifiers: Reward Modeling as Next-Token Prediction

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

[QA] Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

[QA] Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

[QA] A Law of Next-Token Prediction in Large Language Models

[QA] A Law of Next-Token Prediction in Large Language Models

A Law of Next-Token Prediction in Large Language Models

A Law of Next-Token Prediction in Large Language Models

[QA] SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection

[QA] SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection

SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection

SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection

[QA] How Diffusion Models Learn to Factorize and Compose

[QA] How Diffusion Models Learn to Factorize and Compose

How Diffusion Models Learn to Factorize and Compose

How Diffusion Models Learn to Factorize and Compose

FERRET: Faster and Effective Automated Red Teaming withReward-Based Scoring Technique

FERRET: Faster and Effective Automated Red Teaming withReward-Based Scoring Technique

[QA] FERRET: Faster and Effective Automated Red Teaming withReward-Based Scoring Technique

[QA] FERRET: Faster and Effective Automated Red Teaming withReward-Based Scoring Technique

Scalable Autoregressive Image Generation with Mamba

Scalable Autoregressive Image Generation with Mamba

[QA] Scalable Autoregressive Image Generation with Mamba

[QA] Scalable Autoregressive Image Generation with Mamba

[QA] TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

[QA] TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

FocusLLM: Scaling LLM's Context by Parallel Decoding

FocusLLM: Scaling LLM's Context by Parallel Decoding

[QA] FocusLLM: Scaling LLM's Context by Parallel Decoding

[QA] FocusLLM: Scaling LLM's Context by Parallel Decoding

Sapiens: Foundation for Human Vision Models

Sapiens: Foundation for Human Vision Models

[QA] Sapiens: Foundation for Human Vision Models

[QA] Sapiens: Foundation for Human Vision Models

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

[QA] Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

[QA] Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

[QA] Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

[QA] Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Hermes 3 Technical Report

Hermes 3 Technical Report

[QA] Hermes 3 Technical Report

[QA] Hermes 3 Technical Report

LLM Pruning and Distillation in Practice: The Minitron Approach

LLM Pruning and Distillation in Practice: The Minitron Approach

Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

[QA] Recurrent NN Learn to Store and Generate Sequences using Non-Linear Representations

[QA] Recurrent NN Learn to Store and Generate Sequences using Non-Linear Representations

[QA] Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

[QA] Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

[QA] Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

[QA] Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations

[QA] JPEG-LM: LLMs as Image Generators with Canonical Codec Representations

[QA] JPEG-LM: LLMs as Image Generators with Canonical Codec Representations

TextCAVs: Debugging vision models using text

TextCAVs: Debugging vision models using text

[QA] TextCAVs: Debugging vision models using text

[QA] TextCAVs: Debugging vision models using text

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

[QA] Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

[QA] Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Towards flexible perception with visual memory

Towards flexible perception with visual memory

Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

[QA] Towards flexible perception with visual memory

[QA] Towards flexible perception with visual memory

[QA] Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

[QA] Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

Can Large Language Models Understand Symbolic Graphics Programs?

Can Large Language Models Understand Symbolic Graphics Programs?

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

[QA] BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

[QA] BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

[QA] Can Large Language Models Understand Symbolic Graphics Programs?

[QA] Can Large Language Models Understand Symbolic Graphics Programs?

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

[QA] Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

[QA] Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Generative Photomontage

Generative Photomontage

[QA] Generative Photomontage

[QA] Generative Photomontage

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction

[QA] Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

[QA] Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

[QA] Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction

[QA] Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Body Transformer: Leveraging Robot Embodiment for Policy Learning

Body Transformer: Leveraging Robot Embodiment for Policy Learning

[QA] The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

[QA] The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

[QA] Body Transformer: Leveraging Robot Embodiment for Policy Learning

[QA] Body Transformer: Leveraging Robot Embodiment for Policy Learning

VITA: Towards Open-Source Interactive Omni Multimodal LLM

VITA: Towards Open-Source Interactive Omni Multimodal LLM

[QA] VITA: Towards Open-Source Interactive Omni Multimodal LLM

[QA] VITA: Towards Open-Source Interactive Omni Multimodal LLM

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

[QA] Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

[QA] Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Diffusion Guided Language Modeling

Diffusion Guided Language Modeling

[QA] Diffusion Guided Language Modeling

[QA] Diffusion Guided Language Modeling

Conversational Prompt Engineering

Conversational Prompt Engineering

[QA] Conversational Prompt Engineering

[QA] Conversational Prompt Engineering

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models

Better Alignment with Instruction Back-and-Forth Translation

Better Alignment with Instruction Back-and-Forth Translation

[QA] Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models

[QA] Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models

[QA] Better Alignment with Instruction Back-and-Forth Translation

[QA] Better Alignment with Instruction Back-and-Forth Translation

The Ungrounded Alignment Problem

The Ungrounded Alignment Problem

[QA] The Ungrounded Alignment Problem

[QA] The Ungrounded Alignment Problem

Prioritize Alignment in Dataset Distillation

Prioritize Alignment in Dataset Distillation

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

[QA] Prioritize Alignment in Dataset Distillation

[QA] Prioritize Alignment in Dataset Distillation

[QA] Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

[QA] Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

[QA] Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

[QA] Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

[QA] Language Model Can Listen While Speaking

[QA] Language Model Can Listen While Speaking

[QA] Self-Taught Evaluators

[QA] Self-Taught Evaluators

Self-Taught Evaluators

Self-Taught Evaluators

Conditional LoRA Parameter Generation

Conditional LoRA Parameter Generation

[QA] Conditional LoRA Parameter Generation

[QA] Conditional LoRA Parameter Generation

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

[QA] Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

[QA] Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

MindSearch : Mimicking Human Minds Elicits Deep AI Searcher

MindSearch : Mimicking Human Minds Elicits Deep AI Searcher

[QA] Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

[QA] Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

[QA] MindSearch : Mimicking Human Minds Elicits Deep AI Searcher

[QA] MindSearch : Mimicking Human Minds Elicits Deep AI Searcher

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

[QA] Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

[QA] Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?