Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)

10 July 2024

Papers citing "Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)"

7 / 7 papers shown

Title
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 64 1 0 09 Oct 2024
Adversaries Can Misuse Combinations of Safe Models Erik Jones Anca Dragan Jacob Steinhardt 40 6 0 20 Jun 2024
On Early Detection of Hallucinations in Factual Question Answering Ben Snyder Marius Moisescu Muhammad Bilal Zafar HILM 39 24 0 19 Dec 2023
Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings Gyandev Gupta Bashir Rastegarpanah Amalendu Iyer Joshua Rubin K. Kenthapadi 19 2 0 04 Dec 2023
Publicly-Detectable Watermarking for Language Models Jaiden Fairoze Sanjam Garg Somesh Jha Saeed Mahloujifar Mohammad Mahmoody Mingyuan Wang WaLM 139 45 0 27 Oct 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 215 318 0 21 Sep 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 120 130 0 15 Dec 2021