KbsdJames / Awesome-LLM-Preference-LearningLinks
The official repository of our survey paper: "Towards a Unified View of Preference Learning for Large Language Models: A Survey"
☆185Updated last year
Alternatives and similar repositories for Awesome-LLM-Preference-Learning
Users that are interested in Awesome-LLM-Preference-Learning are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation☆176Updated 8 months ago
- An awesome repository & A comprehensive survey on interpretability of LLM attention heads.☆377Updated 8 months ago
- Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasonin…☆169Updated 10 months ago
- Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"☆144Updated last year
- Controllable Text Generation for Large Language Models: A Survey☆192Updated last year
- ☆243Updated 5 months ago
- [ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.☆175Updated 4 months ago
- Recipes to train the self-rewarding reasoning LLMs.☆227Updated 7 months ago
- Codebase for Iterative DPO Using Rule-based Rewards☆260Updated 6 months ago
- [ICLR 2025] MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts☆248Updated last year
- All-in-one Web Agent framework for post-training. Start building with a few clicks!☆273Updated 3 months ago
- A recipe for online RLHF and online iterative DPO.☆536Updated 10 months ago
- A library for generating difficulty-scalable, multi-tool, and verifiable agentic tasks with execution trajectories.☆166Updated 3 months ago
- [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.☆81Updated 8 months ago
- The official GitHub repository of the paper "Recent advances in large langauge model benchmarks against data contamination: From static t…☆45Updated last month
- [ACL 2024] RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback.☆185Updated last year
- Official code of paper "Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models"☆81Updated 5 months ago
- Benchmarking LLMs via Uncertainty Quantification☆247Updated last year
- Your efficient and accurate answer verification system for RL training.☆41Updated 4 months ago
- [NeurIPS 2025 Poster] Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning☆101Updated 2 weeks ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆131Updated 7 months ago
- Trending projects & awesome papers about data-centric llm studies.☆38Updated 5 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆61Updated 2 months ago
- ☆360Updated 4 months ago
- ☆41Updated last month
- 【ICLR 2025 🔥】The code for Consistent In-Context Editing, an approach for tuning language models through contextual distributions, overco…☆45Updated 6 months ago
- ☆148Updated last month
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 9 months ago
- [🏆Outstanding Paper Award at ACL 2024] MMToM-QA: Multimodal Theory of Mind Question Answering☆150Updated 8 months ago
- Must-read papers and blogs about parametric knowledge mechanism in LLMs.☆27Updated 5 months ago