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researcher

Jing Li

4 papers hereh-index 345 citations6 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
same name
  • Jing Li — 33 papers, h 17
  • Jing Li — 27 papers, h 16
  • Jing Li — 24 papers, h 30
  • Jing Li — 21 papers, h 31
  • Jing Li — 15 papers, h 5
  • Jing Li — 14 papers, h 6

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
20232025
most citedFLM-101B: An Open LLM and How to Train It with $100K Budget

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models

Yiqun Yao, Naitong Yu, Xiang Li +7

We introduce EgoMem, the first lifelong memory agent tailored for full-duplex models that process real-time omnimodal streams. EgoMem enables real-time models to recognize multiple…

cs.CL2024

Sketch: A Toolkit for Streamlining LLM Operations

Xin Jiang, Xiang Li, Wenjia Ma +8

Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks throu…

cs.CL2024

Open-domain Implicit Format Control for Large Language Model Generation

Yiqun Yao, Wenjia Ma, Xuezhi Fang +7

Controlling the format of outputs generated by large language models (LLMs) is a critical functionality in various applications. Current methods typically employ constrained decodi…

cs.CL2023★ 2 cited

FLM-101B: An Open LLM and How to Train It with $100K Budget

Xiang Li, Yiqun Yao, Xin Jiang +10

Large language models (LLMs) are considered important approaches towards foundational machine intelligence, achieving remarkable success in Natural Language Processing and multimod…

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