conftrace_

information gain

93 papers

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IG

Co-occurring keywords

bayesian optimization (624) gaussian process (1200) active learning (1301) bayesian inference (1907) reinforcement learning (4352) regret bound (1926) acquisition function (129) large language model (13587) partially observable markov decision process (178) black-box optimization (183)

Papers

MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models ACL 2026
Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs ACL 2026
Triviality Corrected Endogenous Reward ACL 2026
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation ACL 2026
Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026
Isolating the Role of Temporal Information in Video Saliency: A Controlled Experimental Analysis WACV 2026
ActiveGAMER: Active GAussian Mapping through Efficient Rendering CVPR 2025
Map Space Belief Prediction for Manipulation-Enhanced Mapping RSS 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness ACL 2025
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models EMNLP 2025
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025
Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Fundamental Properties of Causal Entropy and Information Gain CLEAR 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Bregman Deviations of Generic Exponential Families COLT 2023
Information-Directed Selection for Top-Two Algorithms COLT 2023
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits RSS 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023