HF Papers

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense

2025-02-05

The Differences Between Direct Alignment Algorithms are a Blur

The Differences Between Direct Alignment Algorithms are a Blur

2025-02-04

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

2025-02-04

Process Reinforcement through Implicit Rewards

Process Reinforcement through Implicit Rewards

2025-02-04

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

2025-02-04

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Preference Leakage: A Contamination Problem in LLM-as-a-judge

2025-02-04

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding

2025-02-04

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models

2025-02-04

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

2025-02-04

FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation

FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation

2025-02-04

AIN: The Arabic INclusive Large Multimodal Model

AIN: The Arabic INclusive Large Multimodal Model

2025-02-04

Scaling Embedding Layers in Language Models

Scaling Embedding Layers in Language Models

2025-02-04

DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

2025-02-04

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

2025-02-04

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

2025-02-04

Improving Transformer World Models for Data-Efficient RL

Improving Transformer World Models for Data-Efficient RL

2025-02-04

Almost Surely Safe Alignment of Large Language Models at Inference-Time

Almost Surely Safe Alignment of Large Language Models at Inference-Time

2025-02-04

Improved Training Technique for Latent Consistency Models

Improved Training Technique for Latent Consistency Models

2025-02-04

PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

2025-02-04

Lifelong Sequential Knowledge Editing without Model Degradation

Lifelong Sequential Knowledge Editing without Model Degradation

2025-02-04