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Lintao Ma

17 papers hereh-index 83.7k citations24 works total

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

author position
  • middle author14
  • last author1

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CL4
  • cs.AI2
  • cs.CE1
  • cs.CV1
same name
  • Lintao Ma — 8 papers, h 7
  • Lintao Ma — 1 paper, h 1
  • Lintao Ma — 1 paper, h 2

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
20232026
most citediTransformer: Inverted Transformers Are Effective for Time Series Forecasting

383 citations · 504 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

ARISE: Adapting to Evolving Capability Gaps in Agentic Reinforcement Learning

Kun Feng, Yuchen Fang, Yiyang Tan +6

As a long-horizon agent improves through experience, previously observed weaknesses may recede while new limitations emerge, continually changing what it still needs to learn. Yet…

cs.CL2026

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

Ang Li, Ben Liu, Bin Han +215

Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…

cs.AI2026

KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning

Kun Feng, Ziwei Shan, Yuchen Fang +6

Cross-domain multimodal time series forecasting is a challenging task, requiring models to integrate precise numerical comprehension, cross-domain semantic understanding, and effec…

cs.CL2026

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Jie Sun, Yu Liu, Lu Han +9

While transformer-based Large Language Models (LLMs) theoretically support massive context windows, they suffer from severe performance degradation when processing long numerical s…

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