Large Language Models

The Effect of Sampling Temperature on Problem Solving in Large Language Models EMNLP 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NeurIPS 2024 The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024 The Illusion of State in State-Space Models ICML 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Impact of Reasoning Step Length on Large Language Models ACL 2024 The Instinctive Bias: Spurious Images lead to Illusion in MLLMs EMNLP 2024 The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024 The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts ACL 2024 The Linear Representation Hypothesis and the Geometry of Large Language Models ICML 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models NeurIPS 2024 The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm EMNLP 2024 The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models ACL 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 The Pitfalls of Next-Token Prediction ICML 2024 The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models EMNLP 2024 The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models ACL 2024 The Queen of England is not England’s Queen: On the Lack of Factual Coherency in PLMs EACL 2024 Thermometer: Towards Universal Calibration for Large Language Models ICML 2024 The State of the Art of Large Language Models on Chartered Financial Analyst Exams EMNLP 2024 The Trickle-down Impact of Reward Inconsistency on RLHF ICLR 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter CoRL 2024 Thinking about how to extract: Energizing LLMs’ emergence capabilities for document-level event argument extraction ACL 2024