4 citations · 8 across the 9 of their papers we have counts for
11 papers
Crypto-bound identity-verified capability tokens for coordinating distributed AI agents: A proposal
Srikumar Subramanian, Shubhashis Sengupta
The prospect of fully autonomous transactional agents did not appear on the horizon until the advent of high capability language models. With such models, the operational benefits…
From Documents to Reasoning: A Validated Synthetic Data Pipeline and Semantic-Aware Fine-Tuning for Financial Numerical Reasoning
Lokendra Birla, Milind Savagaonkar, Visnu Srinivasan +2
Financial question answering (QA) has emerged as a key benchmark for evaluating the performance of Large Language Models (LLMs) on domain-specific tasks involving complex data form…
Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era
Shubhashis Sengupta, Benjamin McCarty, Milind Savagaonkar +1
Generative artificial intelligence has fundamentally changed how content is now produced. It has enabled how high-fidelity text, images, audio, and videos are created, modified, an…
Sovereign AI: Rethinking Autonomy in the Age of Global Interdependence
Shalabh Kumar Singh, Shubhashis Sengupta
Artificial intelligence (AI) is emerging as a foundational general-purpose technology, raising new dilemmas of sovereignty in an interconnected world. While governments seek greate…
A parallelizable variant of HCA*
Sreenivasan Ganti, Visnu Srinivasan, Pallavi Ramicetty +3
This paper presents a parallelizable variant of the well-known Hierarchical Cooperative A* algorithm (HCA*) for the multi-agent path finding (MAPF) problem. In this variant, all ag…
COFAR: Commonsense and Factual Reasoning in Image Search
Prajwal Gatti, Abhirama Subramanyam Penamakuri, Revant Teotia +3
One characteristic that makes humans superior to modern artificially intelligent models is the ability to interpret images beyond what is visually apparent. Consider the following…
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues
Sandhya Singh, Prapti Roy, Nihar Sahoo +8
Movies reflect society and also hold power to transform opinions. Social biases and stereotypes present in movies can cause extensive damage due to their reach. These biases are no…
An Inference Approach To Question Answering Over Knowledge Graphs
Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati +1
Knowledge Graphs (KG) act as a great tool for holding distilled information from large natural language text corpora. The problem of natural language querying over knowledge graphs…
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
Megha Sundriyal, Parantak Singh, Md Shad Akhtar +2
The formulation of a claim rests at the core of argument mining. To demarcate between a claim and a non-claim is arduous for both humans and machines, owing to latent linguistic va…
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights
Vivek Khetan, Annervaz K M, Erin Wetherley +3
The growing quantity and complexity of data pose challenges for humans to consume information and respond in a timely manner. For businesses in domains with rapidly changing rules…
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
Rachit Bansal, William Scott Paka, Nidhi +2
Fake tweets are observed to be ever-increasing, demanding immediate countermeasures to combat their spread. During COVID-19, tweets with misinformation should be flagged and neutra…