collaborators

14 papers

cs.CL2026

Prompt-Injection Probes Learn the Conversation, Not Just the Injection

Kaan Kale, Sriram Vishwanath

Linear probes on a model's hidden states are used as cheap monitors for indirect prompt injection: they screen the tool outputs an agent reads and send suspicious ones to a slower…

cs.LO2026

AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness

Prithwish Jana, Viet Bach Hoang, Logan Luna +9

Proof auto-formalization translates natural-language (NL) theorems and proofs into a formal language (FL) such as Lean, enabling mechanical verification. Despite rapid progress, re…

cs.CL2026

WaveCommitments: Private and Verifiable Speech-Agent Marketplaces

Oguzhan Baser, Kaan Kale, Sriram Vishwanath +1

Modern speech systems are evolving into ecosystems of autonomous speech agents that interact, negotiate, and trade assets such as embeddings, spectrograms, or raw data. In such mar…

cs.SE2026

From Verification Failures to Reusable Guidance for Coding Agents

Yuqing Zhai, Xiaohong Chen, Lingming Zhang +2

Coding agents need to establish that a program satisfies a specification and that the specification captures the requested behavior. We study how expert diagnosis of verification f…

cs.CR2026

ModalFidelity: Routing Modalities for Deepfake Detection on a Budget

Oguzhan Baser, Kaan Kale, Sriram Vishwanath +1

Deepfakes no longer need to fake a whole video. Generators that read the transcript now alter only the few seconds in which a video's meaning turns, so a forgery hides in a small,…

cs.CL2026

The Key Handoff: Retrieval in Hybrid Language Models

Kaan Kale, Oguzhan Baser, Sriram Vishwanath

A two-hop question makes a language model retrieve twice: once to produce a bridge entity, and once to retrieve with it. Transformers resolve that entity in their early layers. Hyb…

cs.RO2026

GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation

Ninghan Zhong, Jing-Chen Peng, Sriram Vishwanath

Vision-Language-Action (VLA) models have shown strong performance on robotic manipulation, but they often struggle to generalize to unseen tasks, configurations, and long-horizon s…

cs.CL2026

The Verbose Context Problem in Medical Records

Shiva Kaul, Min-Gyu Kim, Anjum Khurshid +1

The verbose context problem occurs when structured concepts have token-inefficient textual representations. This bottleneck is acute in population health: cohort-level analysis of…

cs.AI2026

VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification

Ninghan Zhong, Ahmet Ege Tanriverdi, Kaan Kale +1

Multi-step reasoning with Chain-of-Thought (CoT) prompting remains fragile: logical errors or hallucinations in early steps silently propagate, producing confident but incorrect co…

cs.LG2026

Symbolic Regression via Latent Iterative Refinement

Xieting Chu, Sriram Vishwanath, Vijay Ganesh

Symbolic regression (SR) seeks closed-form mathematical expressions that fit observed data. Neural SR methods amortize the search by training an encoder to map observations directl…

cs.CR2026

TensorCommitments: A Lightweight Verifiable Inference for Large Language Models

Oguzhan Baser, Elahe Sadeghi, Eric Wang +6

Most large language models (LLMs) run on external clouds: users send a prompt, pay for inference, and must trust that the remote GPU executes the LLM without any adversarial tamper…

cs.DC2026

OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC

Nicolas Nicolaou, Kishori M. Konwar, Moritz Grundei +3

This paper introduces OPTIMUM-DERAM, a highly consistent, scalable, secure, and decentralized shared memory solution. Traditional distributed shared memory implementations offer mu…

cs.LO2025

ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings

Prithwish Jana, Kaan Kale, Ahmet Ege Tanriverdi +3

Translating human-written mathematical theorems and proofs from natural language (NL) into formal languages (FLs) like Lean 4 has long been a significant challenge for AI. Most sta…

cs.DC2025

OPTIMUMP2P: Fast and Reliable Gossiping in P2P Networks

Nicolas Nicolaou, Onyeka Obi, Aayush Rajasekaran +8

Gossip algorithms are pivotal in the dissemination of information within decentralized systems. Consequently, numerous gossip libraries have been developed and widely utilized espe…