BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Fuente:
arXiv
Saved in:
| Main Authors: | Choudhury, Deepro, Williamson, Sinead, Goliński, Adam, Miao, Ning, Smith, Freddie Bickford, Kirchhof, Michael, Zhang, Yizhe, Rainforth, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Making Better Use of Unlabelled Data in Bayesian Active Learning
by: Smith, Freddie Bickford, et al.
Published: (2024)
by: Smith, Freddie Bickford, et al.
Published: (2024)
Loss-Driven Bayesian Active Learning
by: Huang, Zhuoyue, et al.
Published: (2026)
by: Huang, Zhuoyue, et al.
Published: (2026)
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
by: Nakkiran, Preetum, et al.
Published: (2025)
by: Nakkiran, Preetum, et al.
Published: (2025)
Prediction-Oriented Subsampling from Data Streams
by: Mussati, Benedetta Lavinia, et al.
Published: (2025)
by: Mussati, Benedetta Lavinia, et al.
Published: (2025)
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025)
by: Kirchhof, Michael, et al.
Published: (2025)
Uncertainty Quantification for LLM Function-Calling
by: Ye, Zihuiwen, et al.
Published: (2026)
by: Ye, Zihuiwen, et al.
Published: (2026)
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
by: Santilli, Andrea, et al.
Published: (2025)
by: Santilli, Andrea, et al.
Published: (2025)
Scaling Up Active Testing to Large Language Models
by: Berrada, Gabrielle, et al.
Published: (2025)
by: Berrada, Gabrielle, et al.
Published: (2025)
Rethinking Aleatoric and Epistemic Uncertainty
by: Smith, Freddie Bickford, et al.
Published: (2024)
by: Smith, Freddie Bickford, et al.
Published: (2024)
LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs
by: Chen, Chacha, et al.
Published: (2026)
by: Chen, Chacha, et al.
Published: (2026)
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
by: Hedman, Marcel, et al.
Published: (2025)
by: Hedman, Marcel, et al.
Published: (2025)
CA-BED: Conversation-Aware Bayesian Experimental Design
by: Arnould, Daniel, et al.
Published: (2026)
by: Arnould, Daniel, et al.
Published: (2026)
A Geometric Approach to Optimal Experimental Design
by: Kerrigan, Gavin, et al.
Published: (2025)
by: Kerrigan, Gavin, et al.
Published: (2025)
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
by: Reichelt, Tim, et al.
Published: (2023)
by: Reichelt, Tim, et al.
Published: (2023)
Active Learning with Task-Driven Representations for Messy Pools
by: Ashouritaklimi, Kianoosh, et al.
Published: (2025)
by: Ashouritaklimi, Kianoosh, et al.
Published: (2025)
Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)
by: El, Batu, et al.
Published: (2025)
Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)
by: Sharma, Mrinank, et al.
Published: (2023)
$\varrho$: The Self-Referential Fixed Point of the Complex Exponential
by: Bickford, Michael
Published: (2026)
by: Bickford, Michael
Published: (2026)
Uncertainties of Latent Representations in Computer Vision
by: Kirchhof, Michael
Published: (2024)
by: Kirchhof, Michael
Published: (2024)
Self-Supervised Learning with Gaussian Processes
by: Duan, Yunshan, et al.
Published: (2025)
by: Duan, Yunshan, et al.
Published: (2025)
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
by: Wu, Luhuan, et al.
Published: (2024)
by: Wu, Luhuan, et al.
Published: (2024)
On the Expected Size of Conformal Prediction Sets
by: Dhillon, Guneet S., et al.
Published: (2023)
by: Dhillon, Guneet S., et al.
Published: (2023)
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
by: Kossen, Jannik, et al.
Published: (2023)
by: Kossen, Jannik, et al.
Published: (2023)
A note on precotangent bundles: the example of Grassmannians
by: Goliński, Tomasz
Published: (2025)
by: Goliński, Tomasz
Published: (2025)
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
by: Campbell, Andrew, et al.
Published: (2024)
by: Campbell, Andrew, et al.
Published: (2024)
The tentacles of surveillance: Cephalopods and United States satellite intelligence
by: Andrew Bickford
Published: (2025)
by: Andrew Bickford
Published: (2025)
Spy tours: Ruins, secrets and the memory of Cold War Berlin
by: Andrew Bickford
Published: (2025)
by: Andrew Bickford
Published: (2025)
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025)
by: Steyn, Nicholas, et al.
Published: (2025)
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
by: He, Jie, et al.
Published: (2025)
by: He, Jie, et al.
Published: (2025)
Expanding LLM Agent Boundaries with Strategy-Guided Exploration
by: Szot, Andrew, et al.
Published: (2026)
by: Szot, Andrew, et al.
Published: (2026)
Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data
by: Huang, Miao, et al.
Published: (2025)
by: Huang, Miao, et al.
Published: (2025)
An Experimental Course in Information Gathering for Scientists and Engineers. Final Report.
by: Herner, Saul
Published: (1968)
by: Herner, Saul
Published: (1968)
Mec nica de sólidos: conceptos y aplicaciones / William B. Bickford ; traducción de José de la Cera Alonso ; con la colaboración de Carlos Navarro Ugena
by: Bickford, William B
by: Bickford, William B
From stoning to building: How to energize science meetings
by: Barbara J. Bickford
Published: (2025)
by: Barbara J. Bickford
Published: (2025)
Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments
by: Srivastava, Alkesh K., et al.
Published: (2026)
by: Srivastava, Alkesh K., et al.
Published: (2026)
Pesquisa colaborativa: refl exões sobre o processo de aprendizagem como prática social de uma professora pré-serviço de inglês
by: Luciane Kirchhof Ticks
Published: (2011)
by: Luciane Kirchhof Ticks
Published: (2011)
O processo de identificação de uma professora pré-serviço de inglês com a profissão durante o estágio curricular supervisionado
by: Luciane Kirchhof Ticks
Published: (2009)
by: Luciane Kirchhof Ticks
Published: (2009)
Benchmark BED datasets for interval operations
by: Ticó Miñarro, Max
Published: (2026)
by: Ticó Miñarro, Max
Published: (2026)
Regulated curves on a Banach manifold and singularities of endpoint map. I. Banach manifold structure
by: Goliński, Tomasz, et al.
Published: (2021)
by: Goliński, Tomasz, et al.
Published: (2021)
Poisson structure on predual of Banach Lie algebroid
by: Goliński, Tomasz, et al.
Published: (2025)
by: Goliński, Tomasz, et al.
Published: (2025)
Similar Items
-
Making Better Use of Unlabelled Data in Bayesian Active Learning
by: Smith, Freddie Bickford, et al.
Published: (2024) -
Loss-Driven Bayesian Active Learning
by: Huang, Zhuoyue, et al.
Published: (2026) -
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
by: Nakkiran, Preetum, et al.
Published: (2025) -
Prediction-Oriented Subsampling from Data Streams
by: Mussati, Benedetta Lavinia, et al.
Published: (2025) -
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025)