◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yuandong Tian

11 papers hereh-index 113k citations13 works total

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

author position
  • first author1
  • middle author9
  • last author1

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

fields
  • cs.LG7
  • cs.CL4
same name
  • Yuandong Tian — 42 papers, h 47
  • Yuandong Tian — 37 papers, h 28
  • Yuandong Tian — 16 papers, h 12
  • Yuandong Tian — 11 papers, h 6
  • Yuandong Tian — 9 papers, h 8
  • Yuandong Tian — 5 papers, h 4

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 citedEfficient Streaming Language Models with Attention Sinks

36 citations · 50 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Yang Zhou, Hongyi Liu, Zhuoming Chen +2

Long-context large language models (LLMs) have recently shown strong performance in information retrieval and long-document QA. However, to tackle the most challenging intellectual…

cs.CL2024★ 2 cited

MagicPIG: LSH Sampling for Efficient LLM Generation

Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye +8

Large language models (LLMs) with long context windows have gained significant attention. However, the KV cache, stored to avoid re-computation, becomes a bottleneck. Various dynam…

cs.CL2024

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

Hanshi Sun, Zhuoming Chen, Xinyu Yang +2

With large language models (LLMs) widely deployed in long content generation recently, there has emerged an increasing demand for efficient long-sequence inference support. However…

cs.CL2023★ 36 cited

Efficient Streaming Language Models with Attention Sinks

Guangxuan Xiao, Yuandong Tian, Beidi Chen +2

Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses two major challeng…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.