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researcher

Junwei Zhang

4 papers hereh-index 315 citations10 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.CL2
  • cs.IR1
  • cs.SD1
same name
  • Junwei Zhang — 10 papers, h 7
  • Junwei Zhang — 10 papers, h 25
  • Junwei Zhang — 5 papers
  • Junwei Zhang — 4 papers, h 5
  • Junwei Zhang — 4 papers, h 5
  • Junwei Zhang — 3 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
20192026
most citedScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

HalluTracer: Pre-Decoding Truthfulness Prediction via Depth-Averaged Probe-Logit

Zhihao Guo, Zonghan Wu, Huan Huo +6

Internal-state probes enable truthfulness prediction before a large language model generates an answer. When detectors change both the layers they read and the rules used to combin…

cs.SD2026

ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models

Kaiwen Luo, Liang Lin, Yibo Zhang +8

Although Audio Large Language Models (ALLMs) have witnessed substantial advancements, their long audio understanding capabilities remain unexplored. A plethora of benchmarks have b…

cs.CL2025

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection

Di Jin, Jun Yang, Xiaobao Wang +3

As the Internet and social media evolve rapidly, distinguishing credible news from a vast amount of complex information poses a significant challenge. Due to the suddenness and ins…

cs.IR2019★ 6 cited

ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis

Yazhou Zhang, Lingling Song, Dawei Song +3

Interactive sentiment analysis is an emerging, yet challenging, subtask of the sentiment analysis problem. It aims to discover the affective state and sentimental change of each pe…

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