jinzhuoran / RAG-RewardBenchLinks
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
☆16Updated last year
Alternatives and similar repositories for RAG-RewardBench
Users that are interested in RAG-RewardBench are comparing it to the libraries listed below
Sorting:
- From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.☆24Updated 3 months ago
- ☆21Updated 8 months ago
- Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".☆25Updated 5 months ago
- ☆13Updated last year
- ☆70Updated 7 months ago
- ☆47Updated 3 months ago
- ☆23Updated last year
- ☆58Updated last year
- ☆51Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆39Updated 2 years ago
- The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…☆30Updated last year
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆69Updated 6 months ago
- ☆41Updated 4 months ago
- ☆19Updated 10 months ago
- Resources and paper list for 'Scaling Environments for Agents'. This repository accompanies our survey on how environments contribute to …☆53Updated 3 weeks ago
- [ICML 2025] Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment (https://arxiv.org/abs/2410.02197)☆38Updated 4 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆26Updated last year
- ☆55Updated 3 months ago
- The official code repository for the paper "Mirage or Method? How Model–Task Alignment Induces Divergent RL Conclusions".☆15Updated 4 months ago
- ☆17Updated 5 months ago
- instruction-following benchmark for large reasoning models☆44Updated 5 months ago
- Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"☆55Updated last week
- The code and data for the paper JiuZhang3.0☆49Updated last year
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year
- ☆19Updated 8 months ago
- [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning☆64Updated 2 months ago
- Repository of paper "Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis" (ACL 2025 Main)☆19Updated 5 months ago
- ☆30Updated last year
- Code for Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation (EVOL-RL).☆41Updated 2 months ago
- Code of EMNLP 2025 paper 'UltraIF: Advancing Instruction Following from the Wild'.☆20Updated 9 months ago