HF Papers

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

2024-10-22

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style

2024-10-22

Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception

Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception

2024-10-22

Pre-training Distillation for Large Language Models: A Design Space Exploration

Pre-training Distillation for Large Language Models: A Design Space Exploration

2024-10-22

Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation

Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation

2024-10-22

Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant

Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant

2024-10-22

Zero-shot Model-based Reinforcement Learning using Large Language Models

Zero-shot Model-based Reinforcement Learning using Large Language Models

2024-10-22

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement

Selecting Influential Samples for Long Context Alignment via Homologous Models’ Guidance and Contextual Awareness Measurement

2024-10-22

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos

2024-10-22

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy

2024-10-22

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold

2024-10-22

In-context learning and Occam's razor

In-context learning and Occam’s razor

2024-10-22

Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers

Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers

2024-10-22

Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training

Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training

2024-10-22

Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs

Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs

2024-10-22

DM-Codec: Distilling Multimodal Representations for Speech Tokenization

DM-Codec: Distilling Multimodal Representations for Speech Tokenization

2024-10-22

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

2024-10-21

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

2024-10-21

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

2024-10-21

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

2024-10-21