Artificial Intelligence

A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations EMNLP 2025 An Effective Anomalous Sound Detection Method Based on Global and Local Attribute Mining Interspeech 2025 An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling ACL 2025 An Effective Training Framework for Light-Weight Automatic Speech Recognition Models Interspeech 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning ACL 2025 An Efficient Context-Dependent Memory Framework for LLM-Centric Agents NAACL 2025 An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning COLING 2025 An Efficient Gloss-Free Sign Language Translation Using Spatial Configurations and Motion Dynamics with LLMs NAACL 2025 An Efficient Hybrid Vision Transformer for TinyML Applications ICCV 2025 An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks ICML 2025 An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval ICCV 2025 An Efficient Private GPT Never Autoregressively Decodes ICML 2025 An Efficient Pruner for Large Language Model with Theoretical Guarantee ICML 2025 An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals ACL 2025 An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks EMNLP 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 An Empirical Study of Group Conformity in Multi-Agent Systems ACL 2025 An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4 ACL 2025 An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025 An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs’ Sentimental Perception Capability ICML 2025 An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation EMNLP 2025 An Encoder-Agnostic Weakly Supervised Method for Describing Textures WACV 2025 An End-to-End Model for Logits-Based Large Language Models Watermarking ICML 2025 An Engorgio Prompt Makes Large Language Model Babble on ICLR 2025