Showing 1–20 of 21 results
/ Date/ Name
Feb 3, 2026Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented GenerationMar 10, 2026TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented GenerationAug 30, 2024Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path ReasoningMay 12, 2025DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationSep 21, 2024SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved InformationOct 6, 2025GRACE: Generative Representation Learning via Contrastive Policy OptimizationJan 30, 2026Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient AgentsDec 18, 2025Adaptation of Agentic AI: A Survey of Post-Training, Memory, and SkillsJul 15, 2023Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphMar 8, 2025From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language ModelsApr 24, 2025Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyMar 30, 2026Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific DiscoveryApr 23, 2023Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language ModelsDec 14, 2022APOLLO: An Optimized Training Approach for Long-form Numerical ReasoningMar 28, 2026Learning to Predict Future-Aligned Research Proposals with Language ModelsOct 16, 2025Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement LearningJan 1, 20252.5 Years in Class: A Multimodal Textbook for Vision-Language PretrainingFeb 7, 2026Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMsAug 22, 2024ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMMar 18, 2024Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models