Large Language Models

From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students AAAI 2024 From Discrete to Continuous Classes: A Situational Analysis of Multilingual Web Registers with LLM Annotations EMNLP 2024 From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning ACL 2024 From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning NAACL 2024 From Language to Pixels: Task Recognition and Task Learning in LLMs EMNLP 2024 From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications ACL 2024 From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models ACL 2024 From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NeurIPS 2024 From N-grams to Pre-trained Multilingual Models For Language Identification EMNLP 2024 From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models ACL 2024 From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024 From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression EMNLP 2024 From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs ACL 2024 From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items EMNLP 2024 From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs Interspeech 2024 From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data EMNLP 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fumbling in Babel: An Investigation into ChatGPT’s Language Identification Ability NAACL 2024 Functionality learning through specification instructions EMNLP 2024 Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 Fusion-Eval: Integrating Assistant Evaluators with LLMs EMNLP 2024 FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data EMNLP 2024 FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving NeurIPS 2024