Papers
Interpretable Adversarial Reinforcement Learning
Oliver Chang
Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph
Zhibin Ni, Hai Wan, Xibin Zhao
Interpretable Coreference Resolution Evaluation Using Explicit Semantics
Bruno Gatti, Giuliano Martinelli, Roberto Navigli
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
Yiyang Li, Zehong Wang, Zhengqing Yuan et al.
Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection
Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan et al.
Interpretable Reward Model via Sparse Autoencoder
Shuyi Zhang, Wei Shi, Sihang Li et al.
Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
Dianyun Wang, Qingsen Ma, Yuhu Shang et al.
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
Siddhant Bhambri, Upasana Biswas, Subbarao Kambhampati
Interpreting Capsule Networks for Image Classification by Routing Path Visualization (Abstract Reprint)
Amanjot Bhullar, Michael Czomko, R. Ayesha Ali et al.
Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths
Rui Yao, Qi Chai, Jinhai Yao et al.
Interpreto: An Explainability Library for Transformers
Antonin Poché, Thomas Mullor, Gabriele Sarti et al.
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
InTimeAD: Interactive Time Series Anomaly Detection
Louis Carpentier, Wannes Meert, Mathias Verbeke
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
Mingye Zhu, Yi Liu, Zheren Fu et al.
Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries
Ki Sen Hung, Xi Yang, Chang Liu et al.
Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models
Zhenxiang Lin, Maryam Haghighat, Will Browne et al.
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
Hao Zheng, Shiyu Song, Zhigang Hu et al.
IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
Fengbo Ma, Zixin Rao, Xiaoting Li et al.
Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection
Kaixiang Chen, Pengfei Fang, Hui Xue
Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification
Yachong Zhang, Lei Meng, Shuo Xu et al.
Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
Di Wu, Liting Jiang, Ruiyu Fang et al.
Intuitive Thinking: Expanding Large Language Models’ Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction
Lintao Long, Ruizhang Huang, Ruina Bai et al.