Large Language Models

Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis NAACL 2025 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints AAAI 2025 Text is All You Need: LLM-enhanced Incremental Social Event Detection ACL 2025 Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor COLING 2025 Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs EMNLP 2025 Text Overlap: An LLM with Human-like Conversational Behaviors ACL 2025 Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection EMNLP 2025 Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models ICML 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025 Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Senses NAACL 2025 Thapar Titan/s : Fine-Tuning Pretrained Language Models with Contextual Augmentation for Mistake Identification in Tutor–Student Dialogues ACL 2025 That Ain’t Right: Assessing LLM Performance on QA in African American and West African English Dialects EMNLP 2025 The 2nd Automated Verification of Textual Claims (AVeriTeC) Shared Task: Open-weights, Reproducible and Efficient Systems ACL 2025 The AI Gap: How Socioeconomic Status Affects Language Technology Interactions ACL 2025 The Anemoia Device: A Tangible AI System for the Co-creation of Synthetic Memories through Scent NeurIPS 2025 The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation EMNLP 2025 The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models ICML 2025 The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025 The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation ICCV 2025 The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text ICML 2025 The Complexity of Learning Sparse Superposed Features with Feedback ICML 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025 The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots COLING 2025 The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration EMNLP 2025 The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models ICML 2025