Imagen de Portada

Unveiling Divergent Inductive Biases of LLMs on Temporal Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kishore, Sindhu, He, Hangfeng
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Role of Model Prior in Real-World Inductive Reasoning
por: Liu, Zhuo, et al.
Publicado: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
por: Liu, Xinyi, et al.
Publicado: (2024)

SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation
por: He, Hangfeng, et al.
Publicado: (2023)

The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
por: Liu, Xinyi, et al.
Publicado: (2025)

How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)

A Law of Next-Token Prediction in Large Language Models
por: He, Hangfeng, et al.
Publicado: (2024)

Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
por: Wu, Jiarui, et al.
Publicado: (2025)

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
por: Zeng, Liang, et al.
Publicado: (2025)

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
por: Kuciński, Łukasz, et al.
Publicado: (2021)

Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
por: Parfenova, Angelina, et al.
Publicado: (2025)

Are Akpans Trick or Treat: Unveiling Helpful Biases in Assistant Systems
por: Sun, Jiao, et al.
Publicado: (2022)

HICode: Hierarchical Inductive Coding with LLMs
por: Zhong, Mian, et al.
Publicado: (2025)

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
por: Dijujin, Negin Hashemi, et al.
Publicado: (2025)

Humans and LLMs Diverge on Probabilistic Inferences
por: Kamath, Gaurav, et al.
Publicado: (2026)

A Comprehensive Evaluation of Cognitive Biases in LLMs
por: Malberg, Simon, et al.
Publicado: (2024)

Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
por: Wei, Sheng-Lun, et al.
Publicado: (2024)

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
por: Zhao, Sihang, et al.
Publicado: (2024)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
por: Ghosh, Rajarshi, et al.
Publicado: (2025)

Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
por: Bazarova, Alexandra, et al.
Publicado: (2025)

DateLogicQA: Benchmarking Temporal Biases in Large Language Models
por: Bhatia, Gagan, et al.
Publicado: (2024)

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
por: Huang, Jerry, et al.
Publicado: (2024)

Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
por: Yu, Fangxu, et al.
Publicado: (2024)

Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
por: Mor-Lan, Guy, et al.
Publicado: (2026)

Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
por: Vida, Karina, et al.
Publicado: (2024)

Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
por: de Landa, Joseba Fernandez, et al.
Publicado: (2026)

Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents
por: Alvarez, Aitor Arronte, et al.
Publicado: (2026)

Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models
por: Bajaj, Anooshka, et al.
Publicado: (2025)

Language Models as Inductive Reasoners
por: Yang, Zonglin, et al.
Publicado: (2022)

Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
por: Ruan, Kai, et al.
Publicado: (2024)

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
por: Yang, Haoming, et al.
Publicado: (2025)

A Survey of Inductive Reasoning for Large Language Models
por: Chen, Kedi, et al.
Publicado: (2025)

Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
por: Yang, Xikang, et al.
Publicado: (2025)

Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
por: Zhan, Pengwei, et al.
Publicado: (2024)

"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
por: Karr Jr., Jonathan A., et al.
Publicado: (2025)

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities
por: Huang, Jerry
Publicado: (2024)

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
por: Dong, Wenhan, et al.
Publicado: (2025)

Unveiling the Competitive Dynamics: A Comparative Evaluation of American and Chinese LLMs
por: Jiang, Zhenhui, et al.
Publicado: (2024)

Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
por: Li, Ruochi, et al.
Publicado: (2025)

Inductive Linguistic Reasoning with Large Language Models
por: Ramji, Raghav, et al.
Publicado: (2024)

Empirical Characterization of Temporal Constraint Processing in LLMs
por: Marín, Javier
Publicado: (2025)