Poster "question answering" Papers
15 papers found
Conference
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
Youmin Ko, Sungjong Seo, Hyunjoon Kim
NEURIPS 2025arXiv:2512.10422
1
citations
C-SEO Bench: Does Conversational SEO Work?
Haritz Puerto, Martin Gubri, Tommaso Green et al.
NEURIPS 2025arXiv:2506.11097
4
citations
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
Ruhan Wang, Zhiyong Wang, Chengkai Huang et al.
ICML 2025arXiv:2506.07440
3
citations
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
Yiqun Chen, Lingyong Yan, Weiwei Sun et al.
NEURIPS 2025arXiv:2501.15228
29
citations
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
ICLR 2025arXiv:2406.04306
28
citations
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
Cunxiang Wang, Ruoxi Ning, Boqi Pan et al.
ICLR 2025arXiv:2403.12766
24
citations
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
Song Wang, Junhong Lin, Xiaojie Guo et al.
ICLR 2025arXiv:2503.22166
18
citations
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand et al.
NEURIPS 2025arXiv:2505.15807
4
citations
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
Huawen Feng, ZekunYao, Junhao Zheng et al.
ICLR 2025
1
citations
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian Gregor Gruber, Florian Buettner
ICML 2024arXiv:2310.05833
5
citations
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv, Jie Wang, Hanzhu Chen et al.
ICML 2024arXiv:2410.15116
13
citations
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, Shuai Zhang, Boran Han et al.
ICML 2024arXiv:2406.03631
14
citations
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso, Martin A Bertran, Riccardo Fogliato et al.
ICML 2024arXiv:2404.04689
37
citations
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yi-Fan Zhang, Wei Chen et al.
ICML 2024arXiv:2402.02713
56
citations
Switchable Decision: Dynamic Neural Generation Networks
Shujian Zhang, Korawat Tanwisuth, Chengyue Gong et al.
ICML 2024arXiv:2405.04513