Image de couverture de livre

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Seo, Kwangwook, Yeo, Jinyoung, Lee, Dongha
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
par: Kim, Seoyeon, et autres
Publié: (2024)

MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
par: Seo, Kwangwook, et autres
Publié: (2025)

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
par: Seo, Kwangwook, et autres
Publié: (2026)

In Their Own Words: Reasoning Traces Tailored for Small Models Make Them Better Reasoners
par: Kim, Jaehoon, et autres
Publié: (2025)

Quantifying Genuine Awareness in Hallucination Prediction Beyond Question-Side Shortcuts
par: Seo, Yeongbin, et autres
Publié: (2025)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
par: Ko, Sungho, et autres
Publié: (2024)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
par: Seo, Yeongbin, et autres
Publié: (2024)

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
par: Kim, Hyunseo, et autres
Publié: (2025)

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
par: Kim, Jieyong, et autres
Publié: (2024)

YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion
par: Yang, Dongil, et autres
Publié: (2024)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
par: Cho, Seonglae, et autres
Publié: (2023)

Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
par: Seo, Yeongbin, et autres
Publié: (2025)

Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
par: Kim, Seoyeon, et autres
Publié: (2024)

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems
par: Kim, Sunghwan, et autres
Publié: (2024)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
par: Kim, Jieyong, et autres
Publié: (2024)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
par: Hwang, Yeonjun, et autres
Publié: (2026)

Ever-Evolving Memory by Blending and Refining the Past
par: Kim, Seo Hyun, et autres
Publié: (2024)

Evaluating Robustness of Reward Models for Mathematical Reasoning
par: Kim, Sunghwan, et autres
Publié: (2024)

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
par: Kim, Hana, et autres
Publié: (2024)

COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt
par: Lee, Suyeon, et autres
Publié: (2024)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
par: Chon, Heejae, et autres
Publié: (2024)

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
par: Yoon, Soojin, et autres
Publié: (2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
par: Kim, Sunghwan, et autres
Publié: (2025)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
par: Kwon, Taeyoon, et autres
Publié: (2023)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
par: Kim, Minjin, et autres
Publié: (2024)

Reasoning by Commented Code for Table Question Answering
par: Pyo, Seho, et autres
Publié: (2026)

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
par: Kang, Dongjin, et autres
Publié: (2024)

Can Large Language Models be Effective Online Opinion Miners?
par: Heo, Ryang, et autres
Publié: (2025)

Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity
par: Seo, Yeongbin, et autres
Publié: (2025)

OPSD Compresses What RLVR Teaches: A Post-RL Compaction Stage for Reasoning Models
par: Kim, Jaehoon, et autres
Publié: (2026)

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
par: Kim, Jieyong, et autres
Publié: (2025)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
par: Ong, Kai Tzu-iunn, et autres
Publié: (2024)

ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
par: Kwak, Beong-woo, et autres
Publié: (2025)

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
par: Kim, Serin, et autres
Publié: (2026)

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
par: Chae, Hyungjoo, et autres
Publié: (2024)

Reasoning-Aware Query-Focused Summarization over Multi-Table Data
par: Lin, Xiaochuan, et autres
Publié: (2024)

TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
par: Bardhan, Jayetri, et autres
Publié: (2024)

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
par: Choi, Dongwook, et autres
Publié: (2025)

Towards Lifelong Dialogue Agents via Timeline-based Memory Management
par: Ong, Kai Tzu-iunn, et autres
Publié: (2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
par: Han, Haoyu, et autres
Publié: (2025)