Cover Image

Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Wonjin, Kim, Kyumin, Lee, Sungjae, Lee, Jihun, Kim, Kwang In
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subspace-based Approximate Hessian Method for Zeroth-Order Optimization
by: Kim, Dongyoon, et al.
Published: (2025)

Denoising Table-Text Retrieval for Open-Domain Question Answering
by: Kang, Deokhyung, et al.
Published: (2024)

Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering
by: Lee, Yanggyu, et al.
Published: (2024)

Case-Based Reasoning Approach for Solving Financial Question Answering
by: Kim, Yikyung, et al.
Published: (2024)

KoBBQ: Korean Bias Benchmark for Question Answering
by: Jin, Jiho, et al.
Published: (2023)

Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
by: Lee, Sungjae, et al.
Published: (2025)

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
by: Lee, Sungjae, et al.
Published: (2025)

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
by: Wang, Hongru, et al.
Published: (2024)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)

Cobblestone: A Divide-and-Conquer Approach for Automating Formal Verification
by: Kasibatla, Saketh Ram, et al.
Published: (2024)

Seek and Solve Reasoning for Table Question Answering
by: Jiang, Ruya, et al.
Published: (2024)

Structural Deep Encoding for Table Question Answering
by: Mouravieff, Raphaël, et al.
Published: (2025)

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
by: Yoon, Kanghoon, et al.
Published: (2025)

GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
by: Lee, Sungjae, et al.
Published: (2025)

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
by: Cho, Jeonghun, et al.
Published: (2025)

Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)

STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)

Physically Guided Visual Mass Estimation from a Single RGB Image
by: Lee, Sungjae, et al.
Published: (2026)

Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection
by: Kim, Yumin, et al.
Published: (2025)

Enhancing LLM Character-Level Manipulation via Divide and Conquer
by: Xiong, Zhen, et al.
Published: (2025)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
by: Kim, Minsang, et al.
Published: (2024)

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025)

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023)

OLAPH: Improving Factuality in Biomedical Long-form Question Answering
by: Jeong, Minbyul, et al.
Published: (2024)

A Hybrid Search for Complex Table Question Answering in Securities Report
by: Shirafuji, Daiki, et al.
Published: (2025)

FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering
by: Lee, Gyubok, et al.
Published: (2025)

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
by: Amirizaniani, Maryam, et al.
Published: (2026)

Confidence-guided Refinement Reasoning for Zero-shot Question Answering
by: Jang, Youwon, et al.
Published: (2025)

ReGraM: Region-First Knowledge Graph Reasoning for Medical Question Answering
by: Lee, Chaerin, et al.
Published: (2026)

Text to Query Plans for Question Answering on Large Tables
by: Zhang, Yipeng, et al.
Published: (2025)

MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation
by: Lee, Sihyeon, et al.
Published: (2025)

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
by: Kim, Wonkyun, et al.
Published: (2024)

Hybrid Graphs for Table-and-Text based Question Answering using LLMs
by: Agarwal, Ankush, et al.
Published: (2025)

General Table Question Answering via Answer-Formula Joint Generation
by: Wang, Zhongyuan, et al.
Published: (2025)

API-Assisted Code Generation for Question Answering on Varied Table Structures
by: Cao, Yihan, et al.
Published: (2023)

MATA: Multi-Agent Framework for Reliable and Flexible Table Question Answering
by: Hyeon, Sieun, et al.
Published: (2026)

Towards Question Answering over Large Semi-structured Tables
by: Wang, Yuxiang, et al.
Published: (2025)

When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
by: Kang, Eojin, et al.
Published: (2025)

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
by: Cui, Wendi, et al.
Published: (2024)

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
by: Zhang, Yizhou, et al.
Published: (2024)