5 citations · 9 across the 17 of their papers we have counts for
19 papers
TxnQA: Benchmarking Analytical Reasoning and Evidence Grounding over Transaction Event Sequences
Rabimba Karanjai, Yiming Bian, Yun-Shiuan Chuang +9
Analyzing merchant transaction histories requires dynamic temporal filtering, entity resolution, and aggregation over irregular event streams--operations poorly captured by static…
CM-DPO: Constraint-Margin Direct Preference Optimization for LLM Planning
Rabimba Karanjai, Qun Gu, Hemanth Hegadehalli Madhavarao +8
Direct Preference Optimization (DPO) treats all constraint violations equally: a 1,000 overshoot induce the same training signal. It is also susceptible…
Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injection
Wujie Xiong, Rabimba Karanjai, Yang Lu +2
Large language model agents place outputs from external skills into their execution context, allowing attacker-controlled data to influence later privileged actions. Existing defen…
PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance
Rabimba Karanjai, Yang Lu, Richard Williamson +5
Autonomous AI agents are emerging as interfaces for decentralized finance (DeFi) actions such as swaps, lending operations, and yield management. Because these agents rely on large…
Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
Zhenghui Guo, Yilin Yang, Yuanbin Man +5
Token compression in OmniLLMs is typically posed as a single saliency-ranking problem: score each multimodal token, keep the top-K. We argue this abstraction is mis-specified. The…
Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation
Rabimba Karanjai, Yang Lu, Hemanth Hegadehalli Madhavarao +2
Large Language Models are increasingly deployed in Security Operations Centers for log analysis tasks including summarization, alert triage, and threat investigation. These systems…
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1
The interconnected nature of global financial systems makes them vulnerable to systemic risks, where the failure of a few institutions can trigger catastrophic cascading defaults.…
Rethinking Publication: A Certification Framework for AI-Enabled Research
Yang Lu, Rabimba Karanjai, Lei Xu +1
AI research pipelines can now generate academic work that may satisfy existing peer review standards for quality, novelty, and methodological rigor. However, the publication system…
zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
Xinyu Hou, Yang Lu, Rabimba Karanjai +2
Ransomware is still one of the most serious cybersecurity threats. Victims often pay but fail to regain access to their data, while also facing the danger of losing data privacy. T…
HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Rabimba Karanjai, Lei Xu, Weidong Shi
Unit testing in High-Performance Computing (HPC) is critical but challenged by parallelism, complex algorithms, and diverse hardware. Traditional methods often fail to address non-…
QuCoWE Quantum Contrastive Word Embeddings with Variational Circuits for NearTerm Quantum Devices
Rabimba Karanjai, Hemanth Hegadehalli Madhavarao, Lei Xu +1
We present QuCoWE a framework that learns quantumnative word embeddings by training shallow hardwareefficient parameterized quantum circuits PQCs with a contrastive skipgram object…
Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu +2
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gam…
From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
Dana Alsagheer, Yang Lu, Abdulrahman Kamal +7
Recent advancements in Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains. However, effective decision-making relies heavily on strong reason…
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
Rabimba Karanjai, Boris Shor, Amanda Austin +4
This paper investigates the use of Large Language Models (LLMs) to synthesize public opinion data, addressing challenges in traditional survey methods like declining response rates…
Collaboration is all you need: LLM Assisted Safe Code Translation
Rabimba Karanjai, Sam Blackshear, Lei Xu +1
This paper introduces UniTranslator, a visionary framework that re-imagines code translation as a collaborative endeavor among multiple, compact LLMs. By orchestrating the interact…
Weaving the Cosmos: WASM-Powered Interchain Communication for AI Enabled Smart Contracts
Rabimba Karanjai, Lei Xu, Weidong Shi
In this era, significant transformations in industries and tool utilization are driven by AI/Large Language Models (LLMs) and advancements in Machine Learning. There's a growing em…
Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
Rabimba Karanjai, Lei Xu, Weidong Shi
The rapid growth of the blockchain ecosystem and the increasing value locked in smart contracts necessitate robust security measures. While languages like Solidity and Move aim to…
Generating Move Smart Contracts based on Concepts
Rabimba Karanjai, Sam Blackshear, Lei Xu +1
The growing adoption of formal verification for smart contracts has spurred the development of new verifiable languages like Move. However, the limited availability of training dat…
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
Rabimba Karanjai, Yang Lu, Dana Alsagheer +4
Logs are critical resources that record events, activities, or messages produced by software applications, operating systems, servers, and network devices. However, consolidating t…