activity
20242026
collaborators

16 papers

cs.CL2026

MathDuels: A Self-Play Benchmark That Grows

Zhiqiu Xu, Shibo Jin, Shreya Arya +1

As frontier language models attain near-ceiling performance on static mathematical benchmarks, existing evaluations are increasingly unable to differentiate model capabilities, lar…

cs.AI2026

Detecting Safety Violations Across Many Agent Traces

Adam Stein, Davis Brown, Hamed Hassani +2

To identify safety violations, auditors often search over large sets of agent traces. This search is difficult because failures are often rare, complex, and sometimes even adversar…

cs.LG2026

Do We Need Frontier Models to Verify Mathematical Proofs?

Aaditya Naik, Guruprerana Shabadi, Rajeev Alur +1

Advances in training, post-training, and inference-time methods have enabled frontier reasoning models to win gold medals in math competitions and settle challenging open problems.…

cs.CR2026

QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities

Claire Wang, Ziyang Li, Saikat Dutta +1

Static analysis tools provide a powerful means to detect security vulnerabilities by specifying queries that encode vulnerable code patterns. However, writing such queries is chall…

cs.LG2026

CAMEL: An ECG Language Model for Forecasting Cardiac Events

Neelay Velingker, Alaia Solko-Breslin, Mayank Keoliya +9

Electrocardiograms (ECG) are electrical recordings of the heart that are critical for diagnosing cardiovascular conditions. ECG language models (ELMs) have recently emerged as a pr…

cs.LG2026

On Improving Neurosymbolic Learning by Exploiting the Representation Space

Aaditya Naik, Efthymia Tsamoura, Shibo Jin +2

We study the problem of learning neural classifiers in a neurosymbolic setting where the hidden gold labels of input instances must satisfy a logical formula. Learning in this sett…