Foundation Models

The Price of Format: Diversity Collapse in LLMs EMNLP 2025 The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models EMNLP 2025 The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing ACL 2025 The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model ICLR 2025 These Aren’t the Vectors You’re Looking For: A Proof of Quantum Advantage in Compositional Generalization AACL 2025 The Shift from Logic to Dialectic in Argumentation Theory: Implications for Computational Argument Quality Assessment COLING 2025 Thesis Proposal: A NeuroSymbolic Approach to Control Task-Oriented Dialog Systems IJCNLP 2025 Thesis Proposal: Interpretable Reasoning Enhancement in Large Language Models through Puzzle and Ontological Task Analysis IJCNLP 2025 The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding NAACL 2025 The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence ACL 2025 Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025 Think Clearly: Improving Reasoning via Redundant Token Pruning EMNLP 2025 Thinking Before You Speak: A Proactive Test-time Scaling Approach EMNLP 2025 Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces CVPR 2025 Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 ThinkSwitcher: When to Think Hard, When to Think Fast EMNLP 2025 Thought calibration: Efficient and confident test-time scaling EMNLP 2025 Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs NAACL 2025 TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records IJCAI 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025 TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging ICML 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025