works on

From the 1 of 14 linked papers with an AI index.

activity
20242026
most citedRecent Advances in Multimodal Affective Computing: An NLP Perspective

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

collaborators

14 papers

cs.LG2026

EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis

Lei Zan, Keli Zhang, Shifeng Xie +7

EvoCause leverages a large language model to suggest edits to causal graphs used for root cause analysis of alarm cascades, refining the graph with expert labels and improving dete…

cs.CL2026

SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition

Ruichu Cai, Juntao Gan, Miao Mai +2

Zero-shot Named Entity Recognition (ZS-NER) remains brittle under domain and schema shifts, where unseen label definitions often misalign with a large language model's (LLM's) intr…

cs.CL2026

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

Zhifeng Hao, Zhongjie Chen, Junhao Lu +5

Event Causality Identification (ECI) requires models to determine whether a given pair of events in a context exhibits a causal relationship. While Large Language Models (LLMs) hav…

cs.CL2026

IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction

Bingfeng Chen, Chenjie Qiu, Yifeng Xie +3

Aspect Sentiment Quad Prediction (ASQP) has seen significant advancements, largely driven by the powerful semantic understanding and generative capabilities of large language model…

cs.CL20263 cited

Recent Advances in Multimodal Affective Computing: An NLP Perspective

Guimin Hu, Weimin Lyu, Chang Sun +5

Multimodal affective computing has gained increasing attention due to its broad applications in understanding human behavior and intentions, particularly in text-centric multimodal…

cs.CL2026

Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL

Bingfeng Chen, Shaobin Shi, Yongqi Luo +3

Generative language models have shown significant potential in single-turn Text-to-SQL. However, their performance does not extend equivalently to multi-turn Text-to-SQL. This is p…