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)☆31Updated 3 months ago
- Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue (ACL Findings 2023)☆21Updated 2 months ago
- 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
- PyTorch implementation of CARE☆16Updated 2 years ago
- Code and data for "Medical Dialogue Generation via Dual Flow Modeling" (ACL 2023 Findings)☆13Updated 2 years ago
- Code for the paper "Self-Detoxifying Language Models via Toxification Reversal" (EMNLP 2023)☆18Updated 2 years ago
- Code and data for the paper: On the Reliability of Psychological Scales on Large Language Models☆30Updated last month
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated 2 years ago
- Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue (TOIS)☆13Updated 3 months ago
- ☆78Updated last year
- ☆32Updated 2 years ago
- ☆16Updated 3 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue (ACL 2024)☆24Updated 3 months ago
- [EMNLP 2024] ”ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models“☆26Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- Official code for "Continual Prompt Tuning for Dialog State Tracking" (ACL 2022).☆27Updated 2 years ago
- ☆12Updated last year
- Code and data for the FACTOR paper☆53Updated 2 years ago
- Rationale-enhanced language models are better continual relation learners (EMNLP 2023 Main Conference)☆12Updated 2 years ago
- [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback☆40Updated 2 years ago
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆59Updated last year
- ☆48Updated 2 years ago
- ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning☆40Updated 3 years ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆41Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Updated 2 years ago
- Paper, dataset and code list for multimodal dialogue.☆22Updated last year