Large Language Models

Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024 Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation ICML 2024 Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches ICML 2024 Position: Key Claims in LLM Research Have a Long Tail of Footnotes ICML 2024 Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks ICML 2024 Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms ICML 2024 Position: On the Possibilities of AI-Generated Text Detection ICML 2024 Position: On the Societal Impact of Open Foundation Models ICML 2024 Position: Stop Making Unscientific AGI Performance Claims ICML 2024 Position: Towards Implicit Prompt For Text-To-Image Models ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Position: Understanding LLMs Requires More Than Statistical Generalization ICML 2024 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 Position: Will we run out of data? Limits of LLM scaling based on human-generated data ICML 2024 POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024 PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation ECCV 2024 PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion ACL 2024 PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion EMNLP 2024 Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs EMNLP 2024 PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024 Precise Model Benchmarking with Only a Few Observations EMNLP 2024 Predicting generalization performance with correctness discriminators EMNLP 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ICML 2024 Preference-Guided Reflective Sampling for Aligning Language Models EMNLP 2024