THU-KEG / VerIFLinks
[EMNLP 2025] Verification Engineering for RL in Instruction Following
☆41Updated last month
Alternatives and similar repositories for VerIF
Users that are interested in VerIF are comparing it to the libraries listed below
Sorting:
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 5 months ago
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- Methods and evaluation for aligning language models temporally☆30Updated last year
- The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"☆87Updated last month
- ☆30Updated 2 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆51Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 10 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- A comprehensive benchmark for evaluating deep research agents on academic survey tasks☆37Updated 2 months ago
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆58Updated 5 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆125Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆97Updated 9 months ago
- [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning☆60Updated 2 weeks 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
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆63Updated 11 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- [COLM'24] "How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?"☆22Updated last year
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- ☆108Updated 4 months ago
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- ☆30Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated last month
- Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"☆49Updated 2 months ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆42Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆63Updated last year
- Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning☆40Updated 5 months ago
- ☆58Updated last year