iwangjian / TopDialLinks
Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)
☆30Updated last month
Alternatives and similar repositories for TopDial
Users that are interested in TopDial are comparing it to the libraries listed below
Sorting:
- Codes for Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback (ACL 2024 Findings)☆16Updated last year
- PyTorch implementation of CARE☆16Updated 2 years ago
- Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue (ACL Findings 2023)☆21Updated 3 weeks ago
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated 2 years ago
- Code and data for "Medical Dialogue Generation via Dual Flow Modeling" (ACL 2023 Findings)☆12Updated 2 years 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
- ☆33Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- ☆57Updated last year
- ☆76Updated last year
- ☆32Updated last year
- Code and Results of the Paper: On the Reliability of Psychological Scales on Large Language Models☆30Updated last year
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback☆40Updated 2 years ago
- Dataset and baseline for Coling 2022 long paper (oral): "ConFiguRe: Exploring Discourse-level Chinese Figures of Speech"☆11Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆61Updated last year
- ☆42Updated 2 years ago
- WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…☆48Updated last year
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆58Updated 3 years ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆82Updated 2 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks☆100Updated 2 years ago
- ☆64Updated 3 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆50Updated 2 years ago
- ☆47Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆88Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆78Updated last year
- ☆43Updated 2 years ago