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Jie Tang

4 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • cs.LG1
  • cs.SD1
  • hep-ex1
ORCID 0000-0003-4763-2972
same name
  • Jie Tang — 32 papers, h 82
  • Jie Tang — 23 papers, h 31
  • Jie Tang — 21 papers
  • Jie Tang — 13 papers
  • Jie Tang — 13 papers
  • Jie Tang — 12 papers, h 52

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 citedTDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025★ 1 cited

TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference

Dan Zhang, Min Cai, Jonathan Light +3

Reward models are central to both reinforcement learning (RL) with language models and inference-time verification. However, existing reward models often lack temporal consistency,…

hep-ex2025

Measurement of the space-like π0 transition form factor

BESIII Collaboration, M. Ablikim, M. N. Achasov +689

Based on 2.93fb−1 of e+e− collision data taken with the BESIII detector at a center-of-mass energy of 3.773GeV, the two-photon fusion process $e^+e^-\t…

cs.SD2025

In-the-wild Audio Spatialization with Flexible Text-guided Localization

Tianrui Pan, Jie Liu, Zewen Huang +2

To enhance immersive experiences, binaural audio offers spatial awareness of sounding objects in AR, VR, and embodied AI applications. While existing audio spatialization methods c…

cs.DC2022

Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System

Shaoshan Liu, Jianda Wang, Zhendong Wang +7

This paper is the first to provide a thorough system design overview along with the fusion methods selection criteria of a real-world cooperative autonomous driving system, named I…

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