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Home/Authors/Chen Wang

Chen Wang

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

AI×4Vision×2NLP×1Crypto×1

Frequent co-authors

Yuzhe Zhang1×
Chihui Chen1×
Lina Yao1×
Ruina Hu1×
Lai Wei1×
Jionghao Bai1×

Research Timeline

2026
The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck

The paper introduces PACT, a provenance-aware runtime monitor that enhances agent security by tracking the origin and trust of individual tool arguments, solving the granularity mismatch in LLM agent defenses.

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

The paper introduces AsyncTool, a new benchmark designed to evaluate LLM agents' ability to handle multiple, concurrent tasks with delayed tool feedback, demonstrating that asynchronous coordination is a significant challenge for current models.

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning

The paper proposes GASP, a framework that injects fundamental geometric priors directly into Vision-Language Models (VLMs) using ground-truth video geometry, significantly enhancing 3D spatial reasoning without requiring 3D VQA data.

Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR

The paper introduces EASE, a method that enhances multimodal Reinforcement Learning with Verifiable Rewards (RLVR) by providing spatial attention supervision anchored to visual evidence, significantly improving visual grounding and reasoning capabilities in VLMs.

Consistency evaluation of benchmarks used for causal discovery

This paper systematically evaluates the consistency of popular causal discovery benchmarks against real-world scientific literature, revealing significant variability in their accuracy.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentJun 1, 2026

Consistency evaluation of benchmarks used for causal discovery

Yuzhe Zhang, Chihui Chen, Lina Yao, Chen Wang

This paper systematically evaluates the consistency of popular causal discovery benchmarks against real-world scientific literature, revealing significant variability in their accuracy.

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cs.CVcs.CLRecentMay 29, 2026

Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR

Ruina Hu, Chen Wang, Lai Wei, Jionghao Bai +4 more

The paper introduces EASE, a method that enhances multimodal Reinforcement Learning with Verifiable Rewards (RLVR) by providing spatial attention supervision anchored to visual evidence, significantly…

View →
cs.CVcs.AIRecentMay 28, 2026

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning

Chun-Hsiao Yeh, Shengyi Qian, Manchen Wang, Yi Ma +2 more

The paper proposes GASP, a framework that injects fundamental geometric priors directly into Vision-Language Models (VLMs) using ground-truth video geometry, significantly enhancing 3D spatial reasoni…

View →
cs.AIRecentMay 27, 2026

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

Kou Shi, Ziao Zhang, Shiting Huang, Avery Nie +6 more

The paper introduces AsyncTool, a new benchmark designed to evaluate LLM agents' ability to handle multiple, concurrent tasks with delayed tool feedback, demonstrating that asynchronous coordination i…

View →
cs.CRcs.AIRecentMay 11, 2026

The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck

Linfeng Fan, Ziwei Li, Yuan Tian, Yichen Wang +2 more

The paper introduces PACT, a provenance-aware runtime monitor that enhances agent security by tracking the origin and trust of individual tool arguments, solving the granularity mismatch in LLM agent…

View →