20 citations · 25 across the 17 of their papers we have counts for
17 papers
ArtMine: Discovering and Formalizing Artistic Processes
Kaustubh Kumar, Ashutosh Ranjan, Vivek Srivastava +2
Understanding how artworks are created requires reasoning about the iterative decisions, material operations, and contextual influences that shape artistic production. While recent…
Democratic ICAI: Debating Our Way to Steering Principles from Preferences
Kevin Kingslin, Anish Natekar, Ashutosh Ranjan +3
Preference-based alignment often struggles to capture the reasoning that underlies human judgments. Many evaluations rely on multiple interacting criteria, yet pairwise labels reve…
The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation
Ninad Joshi, Ashutosh Ranjan, Vivek Srivastava +1
Generative text-to-image models are typically trained on large-scale web-scraped datasets that include diverse visual content such as copyrighted and stylistically distinctive artw…
Polaris: A Gödel Agent Framework for Small Language Models through Experience-Abstracted Policy Repair
Aditya Kakade, Vivek Srivastava, Shirish Karande
Gödel agent realize recursive self-improvement: an agent inspects its own policy and traces and then modifies that policy in a tested loop. We introduce Polaris, Gödel agent for co…
Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models
Ashutosh Ranjan, Vivek Srivastava, Shirish Karande +1
Deployed text-to-image diffusion models increasingly require post-hoc concept unlearning for copyright claims, artist opt-outs, safety updates, and protected-content mitigation wit…
The Realignment Problem: When Right becomes Wrong in LLMs
Aakash Sen Sharma, Debdeep Sanyal, Manodeep Ray +3
Post-training alignment of large language models (LLMs) relies on large-scale human annotations guided by policy specifications that change over time. Cultural shifts, value reinte…
Style-based Clustering of Visual Artworks and the Play of Neural Style-Representations
Abhishek Dangeti, Pavan Gajula, Vivek Srivastava +1
Clustering artworks based on style can have many potential real-world applications like art recommendations, style-based search and retrieval, and the study of artistic style evolu…
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset
Dwip Dalal, Vivek Srivastava, Mayank Singh
Social media plays a significant role in cross-cultural communication. A vast amount of this occurs in code-mixed and multilingual form, posing a significant challenge to Natural L…
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset
Rahul Gupta, Vivek Srivastava, Mayank Singh
The multi-sentential long sequence textual data unfolds several interesting research directions pertaining to natural language processing and generation. Though we observe several…
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
Vivek Srivastava, Mayank Singh
In this shared task, we seek the participating teams to investigate the factors influencing the quality of the code-mixed text generation systems. We synthetically generate code-mi…
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
Ayush Garg, Sammed S Kagi, Vivek Srivastava +1
Code-mixing is a phenomenon of mixing words and phrases from two or more languages in a single utterance of speech and text. Due to the high linguistic diversity, code-mixing prese…
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text
Vivek Srivastava, Mayank Singh
Text generation is a highly active area of research in the computational linguistic community. The evaluation of the generated text is a challenging task and multiple theories and…
Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text
Vivek Srivastava, Mayank Singh
Code-mixing is a frequent communication style among multilingual speakers where they mix words and phrases from two different languages in the same utterance of text or speech. Ide…
Challenges and Considerations with Code-Mixed NLP for Multilingual Societies
Vivek Srivastava, Mayank Singh
Multilingualism refers to the high degree of proficiency in two or more languages in the written and oral communication modes. It often results in language mixing, a.k.a. code-mixi…
PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger
Vivek Srivastava, Mayank Singh
WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made…
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection
Vivek Srivastava, Mayank Singh
Code-mixing is the phenomenon of using multiple languages in the same utterance of a text or speech. It is a frequently used pattern of communication on various platforms such as s…
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation
Vivek Srivastava, Mayank Singh
Code-mixing is the phenomenon of using more than one language in a sentence. It is a very frequently observed pattern of communication on social media platforms. Flexibility to use…