Large Language Models

On scalable oversight with weak LLMs judging strong LLMs NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model ACL 2024 On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning ICML 2024 On the Effects of Data Scale on UI Control Agents NeurIPS 2024 On the Empirical Complexity of Reasoning and Planning in LLMs EMNLP 2024 On the In-context Generation of Language Models EMNLP 2024 On the Inductive Bias of Stacking Towards Improving Reasoning NeurIPS 2024 On the Noise Robustness of In-Context Learning for Text Generation NeurIPS 2024 On the Origins of Linear Representations in Large Language Models ICML 2024 On the Relationship between Truth and Political Bias in Language Models EMNLP 2024 On the Reliability of Psychological Scales on Large Language Models EMNLP 2024 On the Robustness of Editing Large Language Models EMNLP 2024 On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models ACL 2024 On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024 On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 On the Worst Prompt Performance of Large Language Models NeurIPS 2024 Ontologically Faithful Generation of Non-Player Character Dialogues EMNLP 2024 Ontology-guided Knowledge Graph Construction from Maintenance Short Texts ACL 2024 Open-Domain Text Evaluation via Contrastive Distribution Methods ICML 2024 OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024 Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NeurIPS 2024 OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models ICML 2024 Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models EMNLP 2024 OpenResearcher: Unleashing AI for Accelerated Scientific Research EMNLP 2024