Copertina

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Minsu, Kim, Sangryul, Thorne, James
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Epistemology of Language Models: Do Language Models Have Holistic Knowledge?
di: Kim, Minsu, et al.
Pubblicazione: (2024)

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?
di: Kim, Eunki, et al.
Pubblicazione: (2025)

How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions
di: An, Na Min, et al.
Pubblicazione: (2025)

ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling
di: Kim, Sangryul, et al.
Pubblicazione: (2024)

Context Filtering with Reward Modeling in Question Answering
di: Kim, Sangryul, et al.
Pubblicazione: (2024)

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
di: Suzgun, Mirac, et al.
Pubblicazione: (2024)

Ontology of Belief Diversity: A Community-Based Epistemological Approach
di: Fischella, Tyler, et al.
Pubblicazione: (2024)

Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions
di: Kang, Wan Ju, et al.
Pubblicazione: (2025)

Learning to Insert [PAUSE] Tokens for Better Reasoning
di: Kim, Eunki, et al.
Pubblicazione: (2025)

Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
di: Kim, Myung Ho
Pubblicazione: (2025)

Algorithmic Bayesian Epistemology
di: Neyman, Eric
Pubblicazione: (2024)

eXplainable Bayesian Multi-Perspective Generative Retrieval
di: Song, EuiYul, et al.
Pubblicazione: (2024)

Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
di: Kim, Minsu, et al.
Pubblicazione: (2023)

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
di: Ye, Seonghyeon, et al.
Pubblicazione: (2023)

Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
di: Kim, Jinyeob, et al.
Pubblicazione: (2024)

Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation
di: Kim, Jeongdong, et al.
Pubblicazione: (2026)

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards
di: Kim, Seungwook, et al.
Pubblicazione: (2026)

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization
di: Hammar, Kim, et al.
Pubblicazione: (2025)

Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction
di: Kim, Minsu, et al.
Pubblicazione: (2024)

A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits
di: Jeong, Sungyu, et al.
Pubblicazione: (2025)

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
di: Choi, Jae-Woo, et al.
Pubblicazione: (2024)

Grounding Language about Belief in a Bayesian Theory-of-Mind
di: Ying, Lance, et al.
Pubblicazione: (2024)

Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMs
di: Trott, Sean, et al.
Pubblicazione: (2026)

Fair Bayesian Model-Based Clustering
di: Lee, Jihu, et al.
Pubblicazione: (2025)

FairBelief -- Assessing Harmful Beliefs in Language Models
di: Setzu, Mattia, et al.
Pubblicazione: (2024)

On the Robustness of Reward Models for Language Model Alignment
di: Hong, Jiwoo, et al.
Pubblicazione: (2025)

Fair Class-Incremental Learning using Sample Weighting
di: Park, Jaeyoung, et al.
Pubblicazione: (2024)

Block Transformer: Global-to-Local Language Modeling for Fast Inference
di: Ho, Namgyu, et al.
Pubblicazione: (2024)

The Adoption and Efficacy of Large Language Models: Evidence From Consumer Complaints in the Financial Industry
di: Shin, Minkyu, et al.
Pubblicazione: (2023)

Large Language Models and Scientific Discourse: Where's the Intelligence?
di: Collins, Harry, et al.
Pubblicazione: (2026)

Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
di: Jang, Chaeyun, et al.
Pubblicazione: (2024)

ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning
di: Choi, Jae-Woo, et al.
Pubblicazione: (2025)

Recursive Belief Vision Language Action Models
di: Bagaria, Vaidehi, et al.
Pubblicazione: (2026)

STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding
di: Kim, Junho, et al.
Pubblicazione: (2026)

Locally Convex Global Loss Network for Decision-Focused Learning
di: Jeon, Haeun, et al.
Pubblicazione: (2024)

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
di: Cho, Junmo, et al.
Pubblicazione: (2026)

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs
di: Murphy, Kevin
Pubblicazione: (2026)

Onto-Epistemological Analysis of AI Explanations
di: Mattioli, Martina, et al.
Pubblicazione: (2025)

The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge
di: Hila, Angjelin
Pubblicazione: (2025)

Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
di: Kim, Dongwon, et al.
Pubblicazione: (2026)