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20212026
most citedDiffusion-based Contrastive Learning for Sequential Recommendation

34 citations · 91 across the 23 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.CL2025

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain

Ye Yuan, Haolun Wu, Hao Zhou +5

Knowledge understanding is a foundational part of envisioned 6G networks to advance network intelligence and AI-native network architectures. In this paradigm, information extracti…

cs.CL2024

Retrieval-Augmented Generation for Natural Language Processing: A Survey

Shangyu Wu, Ying Xiong, Yufei Cui +8

Large language models (LLMs) have achieved strong empirical performance in various fields, benefiting from their huge amount of parameters that store knowledge. However, LLMs still…

cs.CL2024★ 5 cited

Learning to Extract Structured Entities Using Language Models

Haolun Wu, Ye Yuan, Liana Mikaelyan +4

Recent advances in machine learning have significantly impacted the field of information extraction, with Language Models (LMs) playing a pivotal role in extracting structured info…