Cover Image

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Liyi, Veselovsky, Veniamin, McCoy, R. Thomas, Griffiths, Thomas L.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-Learning at Scale for Large Language Models via Low-Rank Amortized Bayesian Meta-Learning
by: Zhang, Liyi, et al.
Published: (2025)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)

What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
by: Zhang, Liyi, et al.
Published: (2024)

Random-Set Large Language Models
by: Mubashar, Muhammad, et al.
Published: (2025)

Danoliteracy of Generative Large Language Models
by: Holm, Søren Vejlgaard, et al.
Published: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Artificial Phantasia: Emergent Mental Imagery in Large Language Models
by: McCarty, Morgan, et al.
Published: (2025)

SWI: Speaking with Intent in Large Language Models
by: Yin, Yuwei, et al.
Published: (2025)

Uncovering Biases with Reflective Large Language Models
by: Chang, Edward Y.
Published: (2024)

Benchmarking Cognitive Biases in Large Language Models as Evaluators
by: Koo, Ryan, et al.
Published: (2023)

Self-Supervised Position Debiasing for Large Language Models
by: Liu, Zhongkun, et al.
Published: (2024)

HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
by: Yang, Ming, et al.
Published: (2025)

RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models
by: Lin, Tianqianjin, et al.
Published: (2025)

Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
by: Bhandari, Pranav, et al.
Published: (2026)

Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
by: Quevedo, Ernesto, et al.
Published: (2024)

Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
by: Kurtic, Eldar, et al.
Published: (2024)

Consistency Evaluation of News Article Summaries Generated by Large (and Small) Language Models
by: Gilhuly, Colleen, et al.
Published: (2025)

External Hippocampus: Topological Cognitive Maps for Guiding Large Language Model Reasoning
by: Yan, Jian
Published: (2025)

Concept Navigation and Classification via Open-Source Large Language Model Processing
by: Kubli, Maël
Published: (2025)

Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026)

Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism
by: Orgad, Hadas, et al.
Published: (2026)

ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
by: Song, Chenyang, et al.
Published: (2024)

Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)

AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
by: Simplício, Afonso, et al.
Published: (2026)

Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)

Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench Study
by: Xu, Xiaonan, et al.
Published: (2026)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
by: Wang, Fali, et al.
Published: (2025)

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
by: Ronando, Elsen, et al.
Published: (2025)

Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)

Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)

UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)

Streamlining Redundant Layers to Compress Large Language Models
by: Chen, Xiaodong, et al.
Published: (2024)

A comprehensive taxonomy of hallucinations in Large Language Models
by: Cossio, Manuel
Published: (2025)

Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models
by: Chang, Edward Y.
Published: (2024)

Applied Explainability for Large Language Models: A Comparative Study
by: Kancharla, Venkata Abhinandan
Published: (2026)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)