activity
20232026
most citedOpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs

7 citations · 20 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Overview of FinMMEval 2026 Task 2: Multilingual Financial Short-Answer Question Answering

Zhuohan Xie, Xueqing Peng, Georgi Georgiev +18

FinMMEval 2026 Task 2 evaluates short-answer financial question answering over multilingual evidence. Each final-test item pairs an English question with financial statements and n…

cs.CL2026

Overview of FinMMEval 2026 Task 1: Multilingual Financial Multiple-Choice Question Answering

Zhuohan Xie, Yuyang Dai, Rania Elbadry +18

FinMMEval 2026 Task 1 evaluates multilingual financial multiple-choice question answering in English, Chinese, Arabic, and Hindi. The task tests whether systems can select the corr…

cs.AI2026

AI YOU Town: Make Friends and Money with Your Digital Twin

Yan Lin, Yuyang Dai, Jiahui Geng +1

Existing approaches to infer user traits and generate responses consistent with a persona rely on static prompting. They lack calibrated uncertainty, ignore sequential evidence, an…

cs.SE2026

CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval

Jiahui Geng, Qing Li, Fengyu Cai +1

Code search, framed as information retrieval (IR), underpins modern software engineering and increasingly powers retrieval-augmented generation (RAG), improving code discovery, reu…

cs.CL2026

The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems

Zhuohan Xie, Rania Elbadry, Fan Zhang +12

We present the setup and the tasks of the FinMMEval Lab at CLEF 2026, which introduces the first multilingual and multimodal evaluation framework for financial Large Language Model…