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Jiaxin Shi

11 papers hereh-index 142.3k citations23 works total

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

author position
  • first author3
  • middle author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
  • cs.CV3
same name
  • Jiaxin Shi — 21 papers, h 6
  • Jiaxin Shi — 15 papers, h 15
  • Jiaxin Shi — 13 papers, h 9
  • Jiaxin Shi — 3 papers, h 6
  • Jiaxin Shi — 3 papers, h 4
  • Jiaxin Shi — 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
20152026
most citedUnbiased Scene Graph Generation from Biased Training

39 citations · 48 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024★ 2 cited

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives

Zhihu Wang, Shiwan Zhao, Yu Wang +7

The Chain-of-Thought (CoT) paradigm has become a pivotal method for solving complex problems with large language models (LLMs). However, its application to domain-specific tasks re…

cs.CL2021

TWAG: A Topic-Guided Wikipedia Abstract Generator

Fangwei Zhu, Shangqing Tu, Jiaxin Shi +3

Wikipedia abstract generation aims to distill a Wikipedia abstract from web sources and has met significant success by adopting multi-document summarization techniques. However, pr…

cs.CL2021★ 1 cited

TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph

Jiaxin Shi, Shulin Cao, Lei Hou +2

Multi-hop Question Answering (QA) is a challenging task because it requires precise reasoning with entity relations at every step towards the answer. The relations can be represent…

cs.CL2015★ 1 cited

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base

Jiaxin Shi, Jun Zhu

We present a new perspective on neural knowledge base (KB) embeddings, from which we build a framework that can model symbolic knowledge in the KB together with its learning proces…

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