Large Language Models

Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models EMNLP 2024 Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study ACL 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024 Unsupervised Evaluation of Code LLMs with Round-Trip Correctness ICML 2024 Unsupervised Extraction of Dialogue Policies from Conversations EMNLP 2024 Unsupervised Human Preference Learning EMNLP 2024 Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration ICML 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization EMNLP 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NeurIPS 2024 Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models EMNLP 2024 Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses EMNLP 2024 Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection ACL 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unveiling the Potential of AI for Nanomaterial Morphology Prediction ICML 2024 Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation ACL 2024 UOR: Universal Backdoor Attacks on Pre-trained Language Models ACL 2024