activity
20242026
most citedRepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation

1 citations · 1 across the 8 of their papers we have counts for

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cs.AI2026

ForkLeft: Entropy-First Rollouts for Prefix-Aligned Autoregressive-to-Diffusion Distillation

Junming Liu, Jicheng Wang, Yifeng He +2

Autoregressive Next-Token Prediction (NTP) has enabled strong reasoning capabilities in language models, while Diffusion Language Models (DLMs) offer flexible token orders and para…

cs.AI2026

The Greatness of Science Cannot Be Planned: Agentic Auto-Research is Fuzz Testing

Yifeng He, Jicheng Wang, Yinzhe Zhao +3

Agentic auto-research is emerging, but most systems treat scientific discovery as goal-oriented optimization against a final benchmark. This paradigm rewards a sparse final verdict…

cs.LG2026

Invariant Pretraining for Robust Code Representations

Yifeng He, Yundi Xu, Christopher Castro Gaw Gonzalo +2

Encoder-based code representation models remain widely deployed for discriminative tasks such as clone detection and code classification, where their small size and low inference c…

cs.SE2026

LLM-Based Invariant Testing for Software Functional Bugs

Ruogu Yang, Yifeng He, Yundi Xu +2

Manually writing unit tests to uncover functional bugs in software libraries is not only time-consuming but also requires a deep understanding of the intended semantics of the APIs…

cs.AI2026

Is Progressive Disclosure All You Need for Long-Context Agents?

Yifeng He, Yinzhe Zhao, Jicheng Wang +1

Long-document question answering usually forces a choice between loading the whole document into the context window and bolting on a separate retriever. Agentic AI suggests a broad…

cs.CL2026

Content Fuzzing for Escaping Information Cocoons on Digital Social Media

Yifeng He, Ziye Tang, Hao Chen

Information cocoons on social media limit users' exposure to posts with diverse viewpoints. Modern platforms use stance detection as an important signal in recommendation and ranki…

cs.IR2026

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA

Xing Tang, Hao Chen, Shiwei Li +7

Large language models (LLMs) have been incorporated into numerous industrial applications. Meanwhile, a vast array of API assets is scattered across various functions in the financ…