xu1998hz / InstructScore_SEScore3Links
First explanation metric (diagnostic report) for text generation evaluation
☆62Updated 8 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:
- ☆82Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆44Updated 3 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆60Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆27Updated 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
- [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"☆35Updated 2 years ago
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- ☆50Updated 2 years ago
- ☆88Updated 2 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆81Updated 3 years ago
- ☆39Updated 2 years ago
- Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)☆26Updated 3 years ago
- Code base of In-Context Learning for Dialogue State tracking☆45Updated 2 years ago
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆41Updated last year
- 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
- Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)☆33Updated 3 years ago
- ☆21Updated 2 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆27Updated last year
- ☆17Updated 2 years ago
- TBC☆27Updated 3 years ago
- Code for Editing Factual Knowledge in Language Models☆142Updated 3 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆69Updated 3 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆50Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 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"☆74Updated 3 years ago
- Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"☆83Updated 2 years ago