HF Papers

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations

2025-02-10

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

2025-02-10

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

2025-02-10

DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails

DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails

2025-02-10

Agency Is Frame-Dependent

Agency Is Frame-Dependent

2025-02-10

Generating Symbolic World Models via Test-time Scaling of Large Language Models

Generating Symbolic World Models via Test-time Scaling of Large Language Models

2025-02-10

FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation

FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation

2025-02-10

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces

2025-02-10

Linear Correlation in LM's Compositional Generalization and Hallucination

Linear Correlation in LM’s Compositional Generalization and Hallucination

2025-02-10

CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference

CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference

2025-02-10

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

2025-02-10

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

2025-02-10

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

2025-02-10

On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices

On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices

2025-02-10

Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs

Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs

2025-02-10

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment

2025-02-10

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance

2025-02-10

Value-Based Deep RL Scales Predictably

Value-Based Deep RL Scales Predictably

2025-02-10

ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

2025-02-10

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

2025-02-10