Stars
RM-R1: Unleashing the Reasoning Potential of Reward Models
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
My learning notes/codes for ML SYS.
[ICLR'24 spotlight] Tool-Augmented Reward Modeling
An Open-source RL System from ByteDance Seed and Tsinghua AIR
[ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
verl: Volcano Engine Reinforcement Learning for LLMs
Democratizing Reinforcement Learning for LLMs
Replicating the Illinois letterhead in latex
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
A bibliography and survey of the papers surrounding o1
Official codebase for the paper "Beyond A* Better Planning with Transformers via Search Dynamics Bootstrapping".
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains (AAAI'24)
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding (Findings of EMNLP'23)
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)
Minimally Supervised Categorization of Text with Metadata (SIGIR'20)
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**
The official implementation of the paper **LVChat: Facilitating Long Video Comprehension**
Implementations of the model-editing baselines in the paper "MemoryLLM: Towards Self-Updatable Large Language Models".