Imagen de Portada

Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wunderlich, Florian Valentin, Kaesberg, Lars Benedikt, Wahle, Jan Philip, Ruas, Terry, Gipp, Bela
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SPaRC: A Spatial Pathfinding Reasoning Challenge
por: Kaesberg, Lars Benedikt, et al.
Publicado: (2025)

Voting or Consensus? Decision-Making in Multi-Agent Debate
por: Kaesberg, Lars Benedikt, et al.
Publicado: (2025)

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
por: Kaesberg, Lars Benedikt, et al.
Publicado: (2026)

MALLM: Multi-Agent Large Language Models Framework
por: Becker, Jonas, et al.
Publicado: (2025)

CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
por: Kaesberg, Lars Benedikt, et al.
Publicado: (2024)

Stay Focused: Problem Drift in Multi-Agent Debate
por: Becker, Jonas, et al.
Publicado: (2025)

You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations
por: Kirstein, Frederic, et al.
Publicado: (2025)

What's under the hood: Investigating Automatic Metrics on Meeting Summarization
por: Kirstein, Frederic, et al.
Publicado: (2024)

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
por: Kirstein, Frederic, et al.
Publicado: (2024)

How Large Language Models are Transforming Machine-Paraphrased Plagiarism
por: Wahle, Jan Philip, et al.
Publicado: (2022)

Paraphrase Types for Generation and Detection
por: Wahle, Jan Philip, et al.
Publicado: (2023)

Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
por: Gnewuch, Max Martin, et al.
Publicado: (2025)

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
por: Wahle, Jan Philip, et al.
Publicado: (2021)

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
por: Wahle, Jan Philip, et al.
Publicado: (2022)

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
por: Schmidt, Finn, et al.
Publicado: (2026)

Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
por: Becker, Jonas, et al.
Publicado: (2024)

Paraphrase Types Elicit Prompt Engineering Capabilities
por: Wahle, Jan Philip, et al.
Publicado: (2024)

Piecing Together Cross-Document Coreference Resolution Datasets: Systematic Dataset Analysis and Unification
por: Zhukova, Anastasia, et al.
Publicado: (2026)

Towards Human Understanding of Paraphrase Types in Large Language Models
por: Meier, Dominik, et al.
Publicado: (2024)

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
por: Kirstein, Frederic, et al.
Publicado: (2024)

ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
por: Yang, Tianyu, et al.
Publicado: (2025)

TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
por: Meier, Dominik, et al.
Publicado: (2025)

What's Wrong? Refining Meeting Summaries with LLM Feedback
por: Kirstein, Frederic, et al.
Publicado: (2024)

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
por: Kirstein, Frederic, et al.
Publicado: (2024)

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
por: Wahle, Jan Philip, et al.
Publicado: (2023)

Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields
por: Wahle, Jan Philip, et al.
Publicado: (2024)

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
por: Kirstein, Frederic, et al.
Publicado: (2025)

Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal
por: Yang, Kia-Jüng, et al.
Publicado: (2026)

Overview of the Plagiarism Detection Task at PAN 2025
por: Greiner-Petter, André, et al.
Publicado: (2025)

Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science
por: Wahle, Jan Philip, et al.
Publicado: (2025)

MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
por: Horych, Tomáš, et al.
Publicado: (2024)

Language Modeling and Understanding Through Paraphrase Generation and Detection
por: Wahle, Jan Philip
Publicado: (2026)

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
por: Zhukova, Anastasia, et al.
Publicado: (2025)

LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
por: Hikal, Baraa, et al.
Publicado: (2026)

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
por: Yang, Wenkai, et al.
Publicado: (2025)

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
por: Wu, George, et al.
Publicado: (2026)

Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
por: Lifshitz, Shalev, et al.
Publicado: (2025)

Text-Guided Image Clustering
por: Stephan, Andreas, et al.
Publicado: (2024)

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
por: Spinde, Timo, et al.
Publicado: (2023)

TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory
por: Mishra, Pranav Pushkar, et al.
Publicado: (2025)