dqxiu / KAssessLinks
☆14Updated last year
Alternatives and similar repositories for KAssess
Users that are interested in KAssess are comparing it to the libraries listed below
Sorting:
- Visual and Embodied Concepts evaluation benchmark☆21Updated last year
- ☆41Updated last year
- ☆27Updated 2 years ago
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆33Updated last year
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Data and code for ACL 2023 paper "RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations"☆15Updated last year
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated last year
- Evaluate the Quality of Critique☆36Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- Code for "[COLM'25] RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing"☆22Updated 4 months ago
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆65Updated 2 years ago
- The code and data for the paper JiuZhang3.0☆48Updated last year
- [NAACL 2024] A Synthetic, Scalable and Systematic Evaluation Suite for Large Language Models☆32Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- ☆15Updated 2 years ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆27Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆67Updated last year
- [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…☆21Updated last year
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆32Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated last month
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆108Updated 2 years ago
- ☆30Updated 7 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- [EMNLP 2023] Once Upon a *Time* in *Graph*: Relative-Time Pretraining for Complex Temporal Reasoning☆17Updated last year
- ☆17Updated 5 months ago