"question answering" Papers

17 papers found

Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers

Youmin Ko, Sungjong Seo, Hyunjoon Kim

NEURIPS 2025posterarXiv:2512.10422
1
citations

C-SEO Bench: Does Conversational SEO Work?

Haritz Puerto, Martin Gubri, Tommaso Green et al.

NEURIPS 2025posterarXiv:2506.11097
2
citations

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering

Patrick Fernandes, Sweta Agrawal, Emmanouil Zaranis et al.

COLM 2025paperarXiv:2504.07583
8
citations

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

Yiqun Chen, Lingyong Yan, Weiwei Sun et al.

NEURIPS 2025posterarXiv:2501.15228
27
citations

Improving Uncertainty Estimation through Semantically Diverse Language Generation

Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.

ICLR 2025posterarXiv:2406.04306
28
citations

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens

Cunxiang Wang, Ruoxi Ning, Boqi Pan et al.

ICLR 2025posterarXiv:2403.12766
23
citations

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations

Song Wang, Junhong Lin, Xiaojie Guo et al.

ICLR 2025posterarXiv:2503.22166
17
citations

The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation

Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand et al.

NEURIPS 2025posterarXiv:2505.15807
4
citations

Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction

Huawen Feng, ZekunYao, Junhao Zheng et al.

ICLR 2025poster
1
citations

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

Sebastian Gregor Gruber, Florian Buettner

ICML 2024posterarXiv:2310.05833

BAND: Biomedical Alert News Dataset

Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.

AAAI 2024paperarXiv:2305.14480
3
citations

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models

Qitan Lv, Jie Wang, Hanzhu Chen et al.

ICML 2024posterarXiv:2410.15116

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Dyah Adila, Shuai Zhang, Boran Han et al.

ICML 2024posterarXiv:2406.03631

InstructDoc: A Dataset for Zero

Shot Generalization of Visual Document Understanding with Instructions - Ryota Tanaka, Taichi Iki, Kyosuke Nishida et al.

AAAI 2024paperarXiv:2401.13313

Multicalibration for Confidence Scoring in LLMs

Gianluca Detommaso, Martin A Bertran, Riccardo Fogliato et al.

ICML 2024posterarXiv:2404.04689

Position: What Can Large Language Models Tell Us about Time Series Analysis

Ming Jin, Yi-Fan Zhang, Wei Chen et al.

ICML 2024posterarXiv:2402.02713

Switchable Decision: Dynamic Neural Generation Networks

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong et al.

ICML 2024posterarXiv:2405.04513