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Jiatong Li

22 papers hereh-index 9402 citations20 works total

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

author position
  • first author10
  • middle author11

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.AI5
  • cs.LG4
  • cs.CE2
  • cs.CV1
  • cs.IR1
same name
  • Jiatong Li — 12 papers, h 3
  • Jiatong Li — 9 papers, h 4
  • Jiatong Li — 6 papers, h 4
  • Jiatong Li — 6 papers, h 7
  • Jiatong Li — 6 papers, h 9
  • Jiatong Li — 3 papers, 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 citedChemLLM: A Chemical Large Language Model

46 citations · 67 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

Fast Graph Condensation with Structure-based Neural Tangent Kernel

Lin Wang, Wenqi Fan, Jiatong Li +2

The rapid development of Internet technology has given rise to a vast amount of graph-structured data. Graph Neural Networks (GNNs), as an effective method for various graph mining…

cs.CL2023★ 2 cited

Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation

Jiatong Li, Rui Li, Qi Liu

Large Language Models (LLMs) have made progress in various real-world tasks, which stimulates requirements for the evaluation of LLMs. Existing LLM evaluation methods are mainly su…

cs.IR2023

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

Junzhe Jiang, Shang Qu, Mingyue Cheng +8

Recommender systems are indispensable in the realm of online applications, and sequential recommendation has enjoyed considerable prevalence due to its capacity to encapsulate the…

cs.AI2023

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm

Jiatong Li, Qi Liu, Fei Wang +5

Personalized learner modeling using cognitive diagnosis (CD), which aims to model learners' cognitive states by diagnosing learner traits from behavioral data, is a fundamental yet…

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