Optimization & Theory

TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025 TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration ICCV 2025 Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification ACL 2025 Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing ACL 2025 Temporal Action Detection Model Compression by Progressive Block Drop CVPR 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding ACL 2025 TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs ACL 2025 Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025 Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025 The 2nd Automated Verification of Textual Claims (AVeriTeC) Shared Task: Open-weights, Reproducible and Efficient Systems ACL 2025 The AdEMAMix Optimizer: Better, Faster, Older ICLR 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025 The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025 The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2025 The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs EMNLP 2025 The Impact of Inference Acceleration on Bias of LLMs NAACL 2025 The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation ACL 2025 The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination ACL 2025 The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure AISTATS 2025 Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding ACL 2025 Theoretical Convergence Guarantees for Variational Autoencoders AISTATS 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization IJCAI 2025