EMNLP-2023-Papers Theme Track: Large Language Models and the Future of NLP Title Repo Paper Video Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation ➖ Reasoning with Language Model is Planning with World Model ➖ Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks ➖ ➖ Prompting is not a Substitute for Probability Measurements in Large Language Models ➖ FANToM: A Benchmark for Stress-Testing Machine Theory of Mind in Interactions ➖ LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Lion: Adversarial Distillation of Proprietary Large Language Models ➖ EpiK-Eval: Evaluation for Language Models as Epistemic Models ➖ To Build our Future, we Must know our Past: Contextualizing Paradigm Shifts in Natural Language Processing ➖ ➖ Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding ➖ ➖ FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models ➖ Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU ➖
