3 citations · 5 across the 8 of their papers we have counts for
8 papers
Vulnerable Code Search: Transferable Attack for Code Language Models
Kaicheng Wang, Liyan Huang, Jesse Thomason +1
Reliable code retrieval is crucial for developer productivity and effective code reuse. However, current neural code language models (CLMs) powering search tools are susceptible to…
Reasoning from Traces: Divergence-Guided Agentic Repair of WebAssembly Discrepancies
Liyan Huang, Kaicheng Wang, Weihang Wang
WebAssembly (Wasm) promises seamless reuse of C/C++ codebases as portable, fast, sandboxed binaries. In practice, however, this promise often falls short: recent studies show that…
CLARC: C/C++ Benchmark for Robust Code Search
Kaicheng Wang, Liyan Huang, Weike Fang +1
Efficient code retrieval is critical for developer productivity, yet existing benchmarks largely focus on Python and rarely stress-test robustness beyond superficial lexical cues.…
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang +13
We study the task of automatically finding evidence relevant to hypotheses in biomedical papers. Finding relevant evidence is an important step when researchers investigate scienti…
Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark
Jianyou Wang, Weili Cao, Longtian Bao +6
Systems that answer questions by reviewing the scientific literature are becoming increasingly feasible. To draw reliable conclusions, these systems should take into account the qu…
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
Xiaoyue Wang, Jianyou Wang, Weili Cao +3
We present the Benchmark of Information Retrieval (IR) tasks with Complex Objectives (BIRCO). BIRCO evaluates the ability of IR systems to retrieve documents given multi-faceted us…
IR2: Information Regularization for Information Retrieval
Jianyou Wang, Kaicheng Wang, Xiaoyue Wang +3
Effective information retrieval (IR) in settings with limited training data, particularly for complex queries, remains a challenging task. This paper introduces IR2, Information Re…
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries
Jianyou Wang, Kaicheng Wang, Xiaoyue Wang +3
In scientific research, the ability to effectively retrieve relevant documents based on complex, multifaceted queries is critical. Existing evaluation datasets for this task are li…