xinghaow99 / DenoSent
☆14Updated 4 months ago
Related projects: ⓘ
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆62Updated 7 months ago
- ☆31Updated 3 months ago
- [ACL 2024] A Prospector of Long-Dependency Data for Large Language Models☆48Updated last month
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆56Updated 6 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆31Updated 5 months ago
- [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback☆37Updated last year
- ☆26Updated last year
- Code and data for "Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue" (ACL 2024)☆20Updated last month
- Visual and Embodied Concepts evaluation benchmark☆21Updated 11 months ago
- ☆13Updated 10 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆36Updated last year
- This the implementation of LeCo☆16Updated 2 months ago
- ☆15Updated last week
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆62Updated 3 months ago
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models☆42Updated last week
- [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Pe…☆15Updated last year
- [NeurIPS 2022] Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings☆20Updated last year
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆29Updated 10 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆38Updated 2 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆33Updated 2 months ago
- ☆21Updated last year
- Methods and evaluation for aligning language models temporally☆24Updated 6 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆27Updated last month
- Towards Systematic Measurement for Long Text Quality☆27Updated 2 weeks ago
- Code for Findings of EMNLP2023 paper "Coarse-to-Fine Dual Encoders are Better Frame Identification Learners"☆12Updated 11 months ago
- 珠算代码大模型(Abacus Code LLM )☆18Updated this week
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement☆21Updated last month
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆29Updated 11 months ago
- ☆71Updated 8 months ago