NJUNLP / MAPOLinks
The implement of ACL2024: "MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization"
☆42Updated last year
Alternatives and similar repositories for MAPO
Users that are interested in MAPO are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆184Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆74Updated last year
- ☆47Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆82Updated last year
- ☆38Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆68Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆165Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- ☆20Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆56Updated last year
- ☆63Updated 2 years ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆73Updated 8 months ago
- Do Large Language Models Know What They Don’t Know?☆99Updated 9 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models☆108Updated 2 months ago
- Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models☆23Updated last year
- ☆53Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- ☆55Updated 11 months ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆27Updated last year
- [ACL 2024] Code for "MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation"☆38Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆105Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- [ACL 2024] Unveiling Linguistic Regions in Large Language Models☆31Updated last year
- ☆87Updated 2 years ago
- ☆79Updated 7 months ago