large language model

MINT: Boosting Audio-Language Model via Multi-Target Pre-Training and Instruction Tuning Interspeech 2024 MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback ICLR 2024 Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning ACL 2024 MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models EMNLP 2024 MisinfoEval: Generative AI in the Era of “Alternative Facts” EMNLP 2024 Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation EMNLP 2024 Missci: Reconstructing Fallacies in Misrepresented Science ACL 2024 Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NeurIPS 2024 Mission: Impossible Language Models ACL 2024 Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil Procedure SemEval 2024 Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024 Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset ACL 2024 Mitigating Hallucination in Fictional Character Role-Play EMNLP 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024 Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting AAAI 2024 Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching ACL 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures NeurIPS 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 Mixture of Diverse Size Experts EMNLP 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024