TIGER-AI-Lab / MAmmoTH2
Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
☆137Updated 5 months ago
Alternatives and similar repositories for MAmmoTH2:
Users that are interested in MAmmoTH2 are comparing it to the libraries listed below
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆102Updated last month
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆92Updated last month
- Unofficial implementation of AlpaGasus☆90Updated last year
- Reformatted Alignment☆115Updated 6 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆46Updated 9 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆73Updated 9 months ago
- ☆144Updated 3 months ago
- ☆52Updated 3 weeks ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆158Updated 9 months ago
- ☆68Updated last year
- Towards Systematic Measurement for Long Text Quality☆34Updated 6 months ago
- ☆98Updated 6 months ago
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆78Updated 8 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆147Updated 6 months ago
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆118Updated 4 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆109Updated 8 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆124Updated 8 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆80Updated last month
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆56Updated 3 months ago
- Code implementation of synthetic continued pretraining☆95Updated 2 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆170Updated 3 weeks ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆67Updated 11 months ago
- Self-Alignment with Principle-Following Reward Models☆156Updated last year
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆54Updated 5 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆65Updated 3 months ago
- Official implementation for 'Extending LLMs’ Context Window with 100 Samples'☆75Updated last year
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆63Updated last year
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆86Updated 11 months ago
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆70Updated 4 months ago