conftrace_

knowledge boundary

27 papers

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Co-occurring keywords

large language model (13587) retrieval-augmented generation (1592) hallucination detection (530) question answering (2963) hallucination mitigation (320) uncertainty estimation (648) confidence calibration (183) confidence estimation (167) knowledge boundaries (5) reinforcement learning (4352)

Papers

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality ACL 2026
Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026
TailorRPA: A Retrieval-Based Framework for Eliciting Personalized and Coherent Role-Playing Agents in General Domain EMNLP 2025
Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals ACL 2025
Alignment for Efficient Tool Calling of Large Language Models EMNLP 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025
Explore What LLM Does Not Know in Complex Question Answering AAAI 2025
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025
Knowledge Boundary of Large Language Models: A Survey ACL 2025
Towards Reliable Large Audio Language Model ACL 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception ACL 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning ACL 2025
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration ACL 2025
Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations ACL 2025
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness EMNLP 2025
Token Knowledge: A New Perspective For Knowledge in Large Language Models EMNLP 2025
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models EMNLP 2025
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs EMNLP 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models ACL 2025
Alignment for Honesty NIPS 2024
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method NAACL 2024