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researcher

Ruichu Cai

19 papers hereh-index 583 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author10
  • last author5

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.LG4
  • cs.AI2
  • cs.CV2
same name
  • Ruichu Cai — 71 papers, h 22
  • Ruichu Cai — 5 papers, h 22
  • Ruichu Cai — 3 papers, h 4
  • Ruichu Cai — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

4 citations · 10 across the 17 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

HART: Hybrid Attention-RWKV Time series Foundation Model

Qingwen Lin, Boyan Xu, Shifeng Xie +3

Non-autoregressive multi-step forecasting (NAF) enables time series foundation models to predict an entire future horizon in a single forward pass. Despite its strong sequence mode…

cs.LG2026

SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models

Qingwen Lin, Boyan Xu, Xiao Liu +2

Delta-Rule recurrent models maintain a fixed-size state, enabling O(1) inference memory but potentially becoming unstable under extreme-context extrapolation. By tracking RWKV-7…

cs.LG2026

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

Lei Zan, Keli Zhang, Shifeng Xie +7

Modern telecommunication, cloud, and microservice systems emit correlated alarm cascades when components fail. Root cause analysis (RCA) aims to identify the small set of alarms th…

cs.LG2025

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

Wei Chen, Jiahao Zhang, Haipeng Zhu +5

Large language models (LLMs) have shown great potential in decision-making due to the vast amount of knowledge stored within the models. However, these pre-trained models are prone…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.