Imagen de Portada

Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yusen, Das, Sarkar Snigdha Sarathi, Zhang, Rui
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
por: Kamoi, Ryo, et al.
Publicado: (2024)

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
por: Das, Sarkar Snigdha Sarathi, et al.
Publicado: (2024)

Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident
por: Borchers, Conrad, et al.
Publicado: (2026)

Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
por: Meek, Austin, et al.
Publicado: (2025)

On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation
por: Briakou, Eleftheria, et al.
Publicado: (2024)

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
por: Cai, Wenrui, et al.
Publicado: (2025)

Efficient PRM Training Data Synthesis via Formal Verification
por: Kamoi, Ryo, et al.
Publicado: (2025)

Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
por: Siegel, Noah Y., et al.
Publicado: (2025)

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
por: Jang, Joonwon, et al.
Publicado: (2024)

Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
por: Gao, Kuofeng, et al.
Publicado: (2024)

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
por: Atil, Berk, et al.
Publicado: (2025)

Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples
por: Gao, Kuofeng, et al.
Publicado: (2024)

Improving Fairness of Large Language Models in Multi-document Summarization
por: Li, Haoyuan, et al.
Publicado: (2025)

A Faithful Discretization of the Verbose Persistent Homology Transform
por: Fasy, Brittany Terese, et al.
Publicado: (2019)

Coverage-based Fairness in Multi-document Summarization
por: Li, Haoyuan, et al.
Publicado: (2024)

GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
por: Zheng, Wenliang, et al.
Publicado: (2025)

Limit Theorems for Verbose Persistence Diagrams
por: Joe, Jeong-hwi, et al.
Publicado: (2025)

Demystifying Singular Defects in Large Language Models
por: Wang, Haoqi, et al.
Publicado: (2025)

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
por: Yang, Tiannuo, et al.
Publicado: (2025)

A Verbose Note on Density Functional Theory
por: Liu, Chang
Publicado: (2024)

An Image Is Worth Ten Thousand Words: Verbose-Text Induction Attacks on VLMs
por: Luo, Zhi, et al.
Publicado: (2025)

Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
por: Ma, Boxiang, et al.
Publicado: (2025)

Evaluating LLMs at Detecting Errors in LLM Responses
por: Kamoi, Ryo, et al.
Publicado: (2024)

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
por: Zhang, Yusen, et al.
Publicado: (2024)

GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
por: He, Jiashu, et al.
Publicado: (2024)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
por: Zhang, Yusen, et al.
Publicado: (2025)

NumPert: Numerical Perturbations to Probe Language Models for Veracity Prediction
por: Aarnes, Peter Røysland, et al.
Publicado: (2025)

Nexus : An Agentic Framework for Time Series Forecasting
por: Das, Sarkar Snigdha Sarathi, et al.
Publicado: (2026)

Demystifying Verbatim Memorization in Large Language Models
por: Huang, Jing, et al.
Publicado: (2024)

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models
por: Luo, Feng, et al.
Publicado: (2026)

Classifying Unreliable Narrators with Large Language Models
por: Brei, Anneliese, et al.
Publicado: (2025)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
por: Shah, Chirag, et al.
Publicado: (2023)

Demystifying Instruction Mixing for Fine-tuning Large Language Models
por: Wang, Renxi, et al.
Publicado: (2023)

Demystifying Embedding Spaces using Large Language Models
por: Tennenholtz, Guy, et al.
Publicado: (2023)

Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
por: Cekinel, Recep Firat, et al.
Publicado: (2024)

Demystifying Prompts in Language Models via Perplexity Estimation
por: Gonen, Hila, et al.
Publicado: (2022)

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
por: Li, Alan, et al.
Publicado: (2025)

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
por: Vijjini, Anvesh Rao, et al.
Publicado: (2024)

GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding
por: Long, Weicai, et al.
Publicado: (2026)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
por: Kamoi, Ryo, et al.
Publicado: (2024)