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Fandong Meng

203 papers hereh-index 427.5k citations261 works total

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

author position
  • first author7
  • middle author186
  • last author5

Across the 198 of 203 papers where every author was matched, so the position is known.

fields
  • cs.CL160
  • cs.CV21
  • cs.LG13
  • cs.AI4
  • cs.IR2
  • cs.RO1
same name
  • Fandong Meng — 1 paper, h 1
  • Fandong Meng — 1 paper
  • Fandong Meng — 1 paper, h 14

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
20152026
most citedDynamic Context-guided Capsule Network for Multimodal Machine Translation

57 citations · 715 across the 196 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

SWE-MILE: Asynchronous Potential-Induced Milestone Credit Assignment for Long-Horizon Software Engineering Agents

Chaoqun Cui, Hao Zhou, Meiqi Chen +2

Long-horizon software engineering (SWE) agents trained with reinforcement learning with verifiable rewards (RLVR) typically receive only terminal outcome supervision, making it dif…

cs.AI2026

PolyWorkBench: Benchmarking LLM Agents for Cross-Lingual Long-Horizon Workflows

Hongliang Li, Yijin Liu, Zhiwei Zhang +5

While Large Language Model (LLM) agents excel at monolingual long-horizon planning and tool use, enterprise workflows inherently require processing multilingual resources across ex…

cs.AI2026

General learned delegation by clones

Darren Li, Meiqi Chen, Chenze Shao +2

Frontier language models improve with additional test-time computation, but serial reasoning or uncoordinated parallel sampling can be compute-inefficient under fixed inference bud…

cs.AI2025★ 3 cited

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Xinyan Guan, Jiali Zeng, Fandong Meng +6

Large Language Models (LLMs) have shown remarkable reasoning capabilities, while their practical applications are limited by severe factual hallucinations due to limitations in the…

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