TsinghuaC3I / Intuitive-Fine-TuningLinks
[ACL 2025, Main Conference, Oral] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
β30Updated last year
Alternatives and similar repositories for Intuitive-Fine-Tuning
Users that are interested in Intuitive-Fine-Tuning are comparing it to the libraries listed below
Sorting:
- [ACL 2024] Long-Context Language Modeling with Parallel Encodingsβ166Updated last year
- [ICLR 2025] 𧬠RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)β177Updated 9 months ago
- β108Updated 4 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".β82Updated 10 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuningβ181Updated 4 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMβ¦β68Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Modelsβ58Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Modelsβ192Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialoguesβ127Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Modelsβ78Updated last year
- A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free toβ¦β57Updated 2 years ago
- β52Updated 5 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?β83Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)β97Updated 9 months ago
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Modelsβ117Updated 5 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMsβ256Updated 11 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)β57Updated last year
- β119Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"β75Updated 6 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"β237Updated 2 months ago
- The official repository of the Omni-MATH benchmark.β88Updated 10 months ago
- Model merging is a highly efficient approach for long-to-short reasoning.β89Updated last month
- RM-R1: Unleashing the Reasoning Potential of Reward Modelsβ148Updated 4 months ago
- β212Updated 9 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Modelsβ266Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"β176Updated 6 months ago
- A Comprehensive Survey on Long Context Language Modelingβ203Updated 4 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Lβ¦β51Updated last year
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feeβ¦β38Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learningβ165Updated last year