OpenMOSS / Say-I-Dont-KnowLinks
[ICML'2024] Can AI Assistants Know What They Don't Know?
☆85Updated 2 years ago
Alternatives and similar repositories for Say-I-Dont-Know
Users that are interested in Say-I-Dont-Know are comparing it to the libraries listed below
Sorting:
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆59Updated last year
- ☆87Updated 2 years ago
- ☆78Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆53Updated 8 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆41Updated last year
- ☆48Updated 2 years ago
- ☆72Updated last year
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆37Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆64Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated 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…☆129Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 4 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆201Updated 2 months ago
- ☆109Updated 6 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆53Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆146Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆168Updated 2 years ago
- ☆58Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- Towards Systematic Measurement for Long Text Quality☆37Updated 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
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆65Updated last year
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆62Updated 9 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 8 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆187Updated 7 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- Feeling confused about super alignment? Here is a reading list☆44Updated 2 years ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year