Imagen de Portada

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rajput, Krishna Singh, Anvekar, Tejas, Baral, Chitta, Gupta, Vivek
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ViTaB-A: Evaluating Multimodal Large Language Models on Visual Table Attribution
por: Alqurnawi, Yahia, et al.
Publicado: (2026)

GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning
por: Siingh, Shikhhar, et al.
Publicado: (2025)

The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs
por: Anvekar, Tejas, et al.
Publicado: (2025)

TabReX : Tabular Referenceless eXplainable Evaluation
por: Anvekar, Tejas, et al.
Publicado: (2025)

TraceBack: Multi-Agent Decomposition for Fine-Grained Table Attribution
por: Anvekar, Tejas, et al.
Publicado: (2026)

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation
por: Pancholi, Vihang, et al.
Publicado: (2025)

Map&Make: Schema Guided Text to Table Generation
por: Ahuja, Naman, et al.
Publicado: (2025)

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
por: Chakraborty, Abhijit, et al.
Publicado: (2025)

Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments
por: Shekhar, Ashish Raj, et al.
Publicado: (2026)

DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity
por: Shekhar, Ashish Raj, et al.
Publicado: (2026)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
por: Patel, Maitreya, et al.
Publicado: (2023)

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
por: Singh, Shubhankar, et al.
Publicado: (2024)

Answering Questions in Stages: Prompt Chaining for Contract QA
por: Roegiest, Adam, et al.
Publicado: (2024)

UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
por: Uddin, Md Nayem, et al.
Publicado: (2024)

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding
por: Titiya, Prasham, et al.
Publicado: (2025)

MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
por: Srivastava, Varun, et al.
Publicado: (2025)

Enhancing Question Answering on Charts Through Effective Pre-training Tasks
por: Gupta, Ashim, et al.
Publicado: (2024)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering
por: Srivastava, Pragya, et al.
Publicado: (2024)

MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
por: Anand, Avinash, et al.
Publicado: (2024)

Efficient Multimodal Planning Agent for Visual Question-Answering
por: Chen, Zhuo, et al.
Publicado: (2026)

$λ$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
por: Patel, Maitreya, et al.
Publicado: (2024)

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
por: Uddin, Md Nayem, et al.
Publicado: (2026)

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
por: Gupta, Himanshu, et al.
Publicado: (2024)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
por: Patel, Maitreya, et al.
Publicado: (2024)

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
por: Varshney, Neeraj, et al.
Publicado: (2023)

DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards
por: Kartha, Aaryaman, et al.
Publicado: (2025)

FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages
por: Das, Sarmistha, et al.
Publicado: (2026)

Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
por: Anantheswaran, Ujjwala, et al.
Publicado: (2024)

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
por: Kumbhar, Shrinidhi, et al.
Publicado: (2025)

An Entity Linking Agent for Question Answering
por: Luo, Yajie, et al.
Publicado: (2025)

VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering
por: Lim, Qi Zhi, et al.
Publicado: (2025)

SCOPE:Planning for Hybrid Querying over Clinical Trial Data
por: Chowdhury, Suparno Roy, et al.
Publicado: (2026)

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
por: Chowdhury, Suparno Roy, et al.
Publicado: (2026)

PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
por: Raptopoulos, Petros, et al.
Publicado: (2025)

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
por: Yilmaz, Nilay, et al.
Publicado: (2025)

Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
por: Saeidi, Amir, et al.
Publicado: (2024)

Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation
por: Fetahu, Besnik, et al.
Publicado: (2024)

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
por: Zhang, Taolin, et al.
Publicado: (2025)

Investigating VLM Hallucination from a Cognitive Psychology Perspective: A First Step Toward Interpretation with Intriguing Observations
por: Liu, Xiangrui, et al.
Publicado: (2025)

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
por: Chen, Mingda, et al.
Publicado: (2023)