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researcher

Han Shi

16 papers hereh-index 8359 citations20 works total

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

author position
  • middle author15

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CV6
  • cs.LG3
  • eess.AS1
same name
  • Han Shi — 13 papers, h 13
  • Han Shi — 4 papers, h 3
  • Han Shi — 2 papers, h 2
  • Han Shi — 2 papers, h 1
  • Han Shi — 2 papers, h 0
  • Han Shi — 1 paper, 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
20242026
most citedDiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

3 citations · 3 across the 15 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Guoxuan Chen, Han Shi, Jiawei Li +7

Large Language Models (LLMs) have exhibited exceptional performance across a spectrum of natural language processing tasks. However, their substantial sizes pose considerable chall…

cs.CL2024

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation

Chuanyang Zheng, Yihang Gao, Han Shi +9

The attention mechanism is a fundamental component of the Transformer model, contributing to interactions among distinct tokens, in contrast to earlier feed-forward neural networks…

cs.CL2024

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation

Chuanyang Zheng, Yihang Gao, Han Shi +8

Positional encoding plays a crucial role in transformers, significantly impacting model performance and length generalization. Prior research has introduced absolute positional enc…

cs.CL2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Jiacheng Ye, Shansan Gong, Liheng Chen +8

Recently, diffusion models have garnered significant interest in the field of text processing due to their many potential advantages compared to conventional autoregressive models.…

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