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Awesome uncertainty β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
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uncertainty
15 papers tagged uncertainty β re-sort below
Papers
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15 papers Β· trending (default)
numbers = π₯ heat
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
(2026)
Fanqi Kong et al.
1.94
Efficient RLVR Training via Weighted Mutual Information Data Selection
(2026)
Xinyu Zhou et al.
1.94
BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
(2026)
Duyi Pan et al.
1.94
HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?
(2026)
Mohamed Elfeki et al.
1.94
APPO: Agentic Procedural Policy Optimization
(2026)
Xucong Wang et al.
1.94
The First Token Knows: Single-Decode Confidence for Hallucination Detection
(2026)
Mina Gabriel
1.89
Reliable and Responsible Foundation Models: A Comprehensive Survey
(2026)
Xinyu Yang et al.
1.72
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
(2025)
Sina Tayebati et al.
1.28
Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?
(2025)
Giacomo Camposampiero et al.
1.28
Explaining Sources of Uncertainty in Automated Fact-Checking
(2025)
Jingyi Sun et al.
1.28
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models
(2025)
Weihao Xuan et al.
1.28
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
(2025)
Aashiq Muhamed et al.
1.28
EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
(2025)
Daniel Scalena et al.
1.28
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
(2024)
Zijun Yao et al.
β
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input
(2024)
Francesco Taioli et al.
β