Large Language Models

Understanding and Mitigating Language Confusion in LLMs EMNLP 2024 Understanding Catastrophic Forgetting in Language Models via Implicit Inference ICLR 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NeurIPS 2024 Understanding In-Context Learning from Repetitions ICLR 2024 Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning ACL 2024 Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024 UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams NAACL 2024 Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction ACL 2024 Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction NAACL 2024 UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing NAACL 2024 UniAudio: Towards Universal Audio Generation with Large Language Models ICML 2024 UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NeurIPS 2024 UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI SemEval 2024 UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions NAACL 2024 UniCoder: Scaling Code Large Language Model via Universal Code ACL 2024 Unified Generative and Discriminative Training for Multi-modal Large Language Models NeurIPS 2024 Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization ICLR 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions NAACL 2024 Unlearning Climate Misinformation in Large Language Models ACL 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study ACL 2024