Revisiting the Reliability of Psychological Scales on Large Language Models
Comments EMNLP Main 2024; 10 pages of main text; 10 pages of appendices;
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments EMNLP Main 2024; 10 pages of main text; 10 pages of appendices;
Comments Accepted to EMNLP 2024 Findings; Camera Ready
Comments Accepted to EMNLP 2024
Comments 17 pages, 6 Figures, 13 Tables, EMNLP'24 Mains
Comments Accepted to EMNLP Findings 2024
Comments EMNLP Findings 2024 (30 pages); Project website: https://mixed-session.github.io/
Comments EMNLP 2024
Comments Accepted at EMNLP 2024 Workshop NLP for Wikipedia
Comments EMNLP 2024 (36 pages)
Comments Accepted by EMNLP 2024 Findings
Comments EMNLP 2024
Comments Accepted at EMNLP 2024 (Findings, long paper)
Comments Accepted to EMNLP 2024 (Main, Long Paper)
Comments EMNLP 2024 Main
Comments EMNLP 2024 Main
Comments 12 pages, 8 tables, 3 figures; Paper Accepted at EMNLP Findings 2024
Comments EMNLP 2024
Comments EMNLP 2024 - Findings
Comments EMNLP 2024 - Findings
Comments EMNLP 2024 Findings. 5 main pages, 9 in total
Comments EMNLP 2024 main conference long paper. The source code is available at https://github.com/voidism/Lookback-Lens
Comments The paper is accepted by EMNLP-24. Code: https://github.com/zwq2018/Multi-modal-Self-instruct dataset: https://huggingface.co/datasets/zwq2018/Multi-modal-Self-instruct Leaderboard: https://multi-modal-self-instruct.github.io/
Comments Accepted at EMNLP 2024 (Main Conference)
Comments In Proceedings of EMNLP 2024 Main Track
Comments EMNLP 2024 Main, 23 pages, 5 figures, 20 tables
Comments Accepted by EMNLP 2024
Comments EMNLP 2024 Findings
Comments 17 pages, 7 figures, EMNLP 2024
Comments EMNLP 2024 Main. We release our code and data publicly at https://github.com/MozerWang/Loong
Comments EMNLP 2024 Findings