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20242026
most citedGraph Foundation Models: A Comprehensive Survey

3 citations · 5 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

PreScam: A Benchmark for Predicting Scam Progression from Early Conversations

Weixiang Sun, Shang Ma, Yiyang Li +5

Conversational scams, such as romance and investment scams, are emerging as a major form of online fraud. Unlike one-shot scam lures such as fake lottery or unpaid toll messages, t…

cs.CL2026

EvoTaxo: Building and Evolving Taxonomy from Social Media Streams

Yiyang Li, Tianyi Ma, Yanfang Ye

Constructing taxonomies from social media corpora is challenging because posts are short, noisy, semantically entangled, and temporally dynamic. Existing taxonomy induction methods…

cs.CL2025

Food4All: An Agentic Framework and Benchmark for Food Resource Navigation with Adaptive User Understanding

Yiyang Li, Weixiang Sun, Tianyi Ma +3

Food assistance referral requires conversational agents to translate underspecified, often noisy help-seeking dialogues into locally valid resource recommendations. We present Food…

cs.CL2025

LLMs4All: A Review of Large Language Models Across Academic Disciplines

Yanfang Ye, Zheyuan Zhang, Tianyi Ma +26

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown t…

cs.CL2025

EfficientLLM: Efficiency in Large Language Models

Zhengqing Yuan, Weixiang Sun, Yixin Liu +13

Large Language Models (LLMs) have driven significant progress, yet their growing parameter counts and context windows incur prohibitive compute, energy, and monetary costs. We intr…

cs.CL2024★ 2 cited

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning

Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le +9

Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health conditions remains a major challenge. Nutrition Question Answering (QA) has emerged…