◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Tao Ge

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL3
  • eess.IV1
ORCID 0000-0002-6630-634X
same name
  • Tao Ge — 20 papers
  • Tao Ge — 4 papers
  • Tao Ge — 3 papers
  • Tao Ge — 1 paper

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

most citedInference with Reference: Lossless Acceleration of Large Language Models

14 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction

Dingyao Yu, Yang An, Wei Ye +4

Chinese Spelling Correction (CSC) commonly lacks large-scale high-quality corpora, due to the labor-intensive labeling of spelling errors in real-life human writing or typing scena…

cs.CL2024★ 6 cited

LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Yadong Zhang, Shaoguang Mao, Tao Ge +7

This paper presents a comprehensive survey of the current status and opportunities for Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning that n…

cs.CL2023★ 14 cited

Inference with Reference: Lossless Acceleration of Large Language Models

Nan Yang, Tao Ge, Liang Wang +5

We propose LLMA, an LLM accelerator to losslessly speed up Large Language Model (LLM) inference with references. LLMA is motivated by the observation that there are abundant identi…

eess.IV2023

MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction

Tao Ge, Maria Medrano, Rui Liao +4

Numerous dual-energy CT (DECT) techniques have been developed in the past few decades. Dual-energy CT (DECT) statistical iterative reconstruction (SIR) has demonstrated its potenti…

◍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.