Jiaxin-Pei / Prompting-with-Social-Roles
☆12Updated 6 months ago
Related projects: ⓘ
- ☆19Updated 6 months ago
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions☆37Updated 2 months ago
- ☆33Updated 3 weeks ago
- ☆31Updated 3 months ago
- Code/data for MARG (multi-agent review generation)☆24Updated 4 months ago
- The Prism Alignment Project☆32Updated 4 months ago
- Code and Resources for the paper, "Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries"☆14Updated 5 months ago
- Apps built using Inspired Cognition's Critique.☆58Updated last year
- Retrieval-Augmented Generation battle!☆38Updated 2 weeks ago
- ☆28Updated 7 months ago
- A Human-LLM Collaborative Dataset for Generative Information-seeking with Attribution☆30Updated last year
- CausalGym: Benchmarking causal interpretability methods on linguistic tasks☆28Updated 6 months ago
- ☆22Updated 2 months ago
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆38Updated 9 months ago
- Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".☆68Updated last month
- ☆45Updated 2 years ago
- Dense hybrid representations for text retrieval☆60Updated last year
- Repo for "On Learning to Summarize with Large Language Models as References"☆40Updated last year
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆118Updated 6 months ago
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆33Updated 3 months ago
- Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…☆41Updated last month
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆77Updated last month
- ☆39Updated 5 months ago
- official repository for ListT5☆32Updated 3 weeks ago
- ☆38Updated 5 months ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆83Updated 2 years ago
- ☆16Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆58Updated 5 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆16Updated last month
- [ACL 2024 NLP4ConvAI Oral] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system m…☆33Updated 3 months ago