EMNLP 2024: Revisiting Query Variation Robustness of Transformer Models

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EMNLP 2024 mechanistic interpretability: How do Large Language Models Learn In-Context?

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How to turn trivia questions into state-of-the-art AI training data [Research, EMNLP 2024]

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EMNLP 2024 - LLM Self-Correction with DECRIM - Paper presentation

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How Sensitive are LLMs to Your Prompts? Meet POSIX! | EMNLP 2024

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NLLP 2024 Workshop @ EMNLP 2024

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[EMNLP 2024] DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models

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Self-Improving Leaderboard - EMNLP 2024 System Demonstrations

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Towards Planning in Creative Contexts–Alexander Spangher (USC)

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Lexically Grounded Subword Segmentation [EMNLP 2024]

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EMNLP 2024 Miami Vlog Part-1: Inside World's Top AI Conference + Miami Travel

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NeurIPS vs ICML machine learning conferences | Charles Isbell and Michael Littman and Lex Fridman

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EMNLP 2024 mechanistic interpretability: Neuron-Level Knowledge Attribution in Large Language Models

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EMNLP 2024 mechanistic interpretability: Interpreting Arithmetic Mechanism in Large Language Models

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Discovering skills computers still lack when they try to answer questions. [Research, EMNLP 2024]

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How AI can help you learn new vocabulary words [Research, EMNLP 2024]

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[EMNLP'24] What’s Mine Becomes Yours: Detecting Context-Dependent Paraphrases in News Interviews

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[EMNLP 2024] PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection

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[EMNLP 2024] Distributional Properties of Subword Regularization

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