Results 261 to 270 of about 3,740,163 (314)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification

Conference on Empirical Methods in Natural Language Processing, 2023
Retrieval-enhanced methods have become a primary approach in fact verification (FV); it requires reasoning over multiple retrieved pieces of evidence to verify the integrity of a claim.
Hengran Zhang, Ruqing Zhang, J. Guo, M. de Rijke, Yixing Fan, Xueqi Cheng   +5 more
semanticscholar   +1 more source

Is a fact retrieval deficit the main characteristic of children with mathematical learning disabilities?

Acta Psychologica, 2018
Although a fact retrieval deficit is widely considered to be the hallmark of children with mathematical learning disabilities (MLD), recent studies suggest that even adults use procedural strategies to solve small additions, except for ties that are ...
Anne-Françoise de Chambrier, Pascal Zesiger   +1 more
exaly   +2 more sources

The role of practice in fact retrieval.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 1985
Four experiments examined the relationship among massive practice, speed-up of memory retrieval, and the reduction of long-term memory interference. All experiments employed a multiday fact recognition procedure. Interference was varied by a fan manipulation: Concepts could appear in more than one fact (fan) or only one fact (no fan).
Peter L. Pirolli, John R. Anderson
openaire   +1 more source

Fact retrieval and the paradox of interference

Cognitive Psychology, 1978
Many theories of memory incorporate the notion of retrieval interference, which says that facts learned about the same concept can interfere with one another during retrieval. This notion implies that the more facts learned about a concept the greater the retrieval interference.
Edward E Smith, Nancy Adams, Dennis Schorr   +2 more
openaire   +1 more source

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval

European Conference on Information Retrieval
The CheckThat! lab aims to advance the development of innovative technologies designed to identify and counteract online disinformation and manipulation efforts across various languages and platforms.
Firoj Alam, J. Struß, Tanmoy Chakraborty, Stefan Dietze, Salim Hafid, Katerina Korre, Arianna Muti, Preslav Nakov, Federico Ruggeri, Sebastian Schellhammer, Vinay Setty, Megha Sundriyal, Konstantin Todorov, V. Venktesh   +13 more
semanticscholar   +1 more source

The GoOLAP Fact Retrieval Framework

2012
We discuss the novel problem of supporting analytical business intelligence queries over web-based textual content, e.g., BI-style reports based on 100.000’s of documents from an ad-hoc web search result. Neither conventional search engines nor conventional Business Intelligence and ETL tools address this problem, which lies at the intersection of ...
Alexander Löser, Sebastian Arnold 0001, Tillmann Fiehn   +2 more
openaire   +1 more source

Resolving Zero-Shot and Fact-Based Visual Question Answering via Enhanced Fact Retrieval

IEEE transactions on multimedia
Practical applications with visual question answering (VQA) systems are challenging, and recent research has aimed at investigating this important field. Many issues related to real-world VQA applications must be considered.
Sen Wu, Guoshuai Zhao, Xueming Qian
semanticscholar   +1 more source

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval

arXiv.org
The rapid spread of online disinformation presents a global challenge, and machine learning has been widely explored as a potential solution. However, multilingual settings and low-resource languages are often neglected in this field. To address this gap,
Qiwei Peng, Róbert Móro, Michal Gregor, Ivan Srba, Simon Ostermann, Marián Simko, Juraj Podrouvzek, Mat'uvs Mesarvc'ik, Jaroslav Kopčan, Anders Sogaard   +9 more
semanticscholar   +1 more source

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking

IEEE Transactions on Artificial Intelligence
In the age of social media, the rapid spread of misinformation and rumors has led to the emergence of infodemics, where false information poses a significant threat to society.
Ching Nam Hang, Pei-Duo Yu, C. Tan
semanticscholar   +1 more source

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

Annual Meeting of the Association for Computational Linguistics
Large language models (LLMs) augmented with retrieval systems have demonstrated significant potential in handling knowledge-intensive tasks. However, these models often struggle with unfaithfulness issues, generating outputs that either ignore the ...
Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su   +6 more
semanticscholar   +1 more source