xu1998hz / InstructScore_SEScore3Links
First explanation metric (diagnostic report) for text generation evaluation
☆62Updated 3 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:
- ☆39Updated 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
- 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)☆59Updated last year
- ☆82Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆26Updated last year
- TBC☆27Updated 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
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"☆35Updated 2 years ago
- Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)☆53Updated last month
- This project maintains a reading list for general text generation tasks☆65Updated 3 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆74Updated 2 years ago
- Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)☆27Updated 3 years ago
- ☆87Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- Code base of In-Context Learning for Dialogue State tracking☆45Updated last year
- Token-level Reference-free Hallucination Detection☆94Updated last year
- ☆48Updated 2 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"☆15Updated 2 years ago
- ☆21Updated last year
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆25Updated last year
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆67Updated 2 years ago
- ☆36Updated last year
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆49Updated 2 years ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated last year
- Repo for paper: Controllable Text Generation with Language Constraints☆19Updated 2 years ago