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Junkai Chen

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Preprint Aug 2026

Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models

This work constructs a benchmark that captures unintended degradation on benign inputs sharing generic patterns with the forget set, and proposes Selective Protection with Anchored Regularization, which protects generic patterns via anchored activation filtering while reinforcing them through entity-abstracted enhancem...

Junxian You, Junkai Chen, Yuhao He et al. · 0 citations
Preprint Aug 2026

Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models

This work proposes Causal Localization and Retain-Aware Projection (CLRP), a lightweight training-free framework that uses activation patching to identify the layer that causally mediates target-attribute disclosure, then applies a retain-aware projection that removes the target-attribute subspace while preserving same...

Junkai Lin, Junkai Chen, Siqi Hou et al. · 0 citations
Preprint Jul 2026

SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements

This paper operationalizes developer-oriented NFIs into 92 executable rules and develops a comprehensive evaluation suite that combines functional correctness testing with rule-based NFI evaluation, and evaluates state-of-the-art commercial and open-source coding agents.

Pengyu Xue, Hengchen Yuan, Xin Wang et al. · 0 citations
Preprint Aug 2026

AgentExecutor: Partial Code Execution via Agentic Context Generation

This paper proposes AgentExecutor, a novel multi-agent framework for partial code execution that is Supported by the power of LLM agents who can think, act, and get feedback iteratively, and is able to autonomously explore a richer action space, enabling diverse operations such as creating resource files and resolving...

Junkai Chen, Cheng-Ran Yang, Xing Hu et al. · 0 citations

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