xu1998hz / InstructScore_SEScore3Links
First explanation metric (diagnostic report) for text generation evaluation
☆62Updated 7 months ago
Alternatives and similar repositories for InstructScore_SEScore3
Users that are interested in InstructScore_SEScore3 are comparing it to the libraries listed below
Sorting:
- Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)☆26Updated 3 years ago
- [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"☆35Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- ☆21Updated 2 years ago
- ☆82Updated 2 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- ☆50Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆27Updated last year
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆43Updated 2 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Code base of In-Context Learning for Dialogue State tracking☆45Updated 2 years ago
- ☆39Updated 2 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆50Updated 2 years ago
- ☆88Updated 2 years ago
- This project maintains a reading list for general text generation tasks☆66Updated 3 years ago
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆73Updated 3 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆80Updated 2 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆27Updated last year
- ☆33Updated last year
- ☆62Updated 2 years ago
- Code for Editing Factual Knowledge in Language Models☆141Updated 3 years ago
- ☆17Updated 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…☆47Updated last year
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation☆23Updated 3 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)☆33Updated 3 years ago
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆22Updated last year