1 citations · 1 across the 8 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
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…
Evaluating Program Semantics Reasoning with Type Inference in System F
Yifeng He, Luning Yang, Christopher Castro Gaw Gonzalo +1
Large Language Models (LLMs) are increasingly integrated into the software engineering ecosystem. Their test-time compute (TTC) reasoning capabilities show significant potential fo…
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models
Hongxiang Zhang, Yifeng He, Hao Chen
Text-to-image (T2I) diffusion models have drawn attention for their ability to generate high-quality images with precise text alignment. However, these models can also be misused t…
RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation
Jicheng Wang, Yifeng He, Hao Chen
In real-world software engineering tasks, solving a problem often requires understanding and modifying multiple functions, classes, and files across a large codebase. Therefore, on…