wangjs9 / MuffinLinks
Codes for Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback (ACL 2024 Findings)
☆16Updated last year
Alternatives and similar repositories for Muffin
Users that are interested in Muffin are comparing it to the libraries listed below
Sorting:
- Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)☆30Updated last year
- Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue (ACL Findings 2023)☆22Updated last year
- PyTorch implementation of CARE☆16Updated last year
- This repository provides the data and the codes used in the AAAI'24 paper, COOPER: Coordinating Specialized Agents towards a Complex Dial…☆25Updated last year
- Code and data for "Medical Dialogue Generation via Dual Flow Modeling" (ACL 2023 Findings)☆12Updated last year
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated last year
- Code for the paper "Self-Detoxifying Language Models via Toxification Reversal" (EMNLP 2023)☆16Updated last year
- Code and data for "Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue" (ACM TOIS)☆10Updated 9 months ago
- Code and Results of the Paper: On the Reliability of Psychological Scales on Large Language Models☆30Updated 10 months ago
- ☆32Updated last year
- Rationale-enhanced language models are better continual relation learners (EMNLP 2023 Main Conference)☆12Updated last year
- ☆16Updated 3 years ago
- ☆74Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated last year
- ☆55Updated 11 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆39Updated 10 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue (ACL 2024)☆23Updated 11 months ago
- ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning☆40Updated 2 years ago
- ☆42Updated last year
- ☆12Updated 10 months ago
- [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback☆39Updated last year
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆46Updated 2 months ago
- Dataset and baseline for Coling 2022 long paper (oral): "ConFiguRe: Exploring Discourse-level Chinese Figures of Speech"☆11Updated 2 years ago
- Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation☆19Updated last year
- Code and data for the FACTOR paper☆50Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆56Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- ☆63Updated 2 years ago
- Official code for "Continual Prompt Tuning for Dialog State Tracking" (ACL 2022).☆27Updated 2 years ago