Aashish Anantha Ramakrishnan

According to our database, Aashish Anantha Ramakrishnan authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generative Active Testing: Efficient LLM Evaluation via Proxy Task Adaptation.

Aashish Anantha Ramakrishnan, Ardavan Saeedi, Hamid Reza Hassanzadeh, Fazlolah Mohaghegh, Dongwon Lee

CoRR, March, 2026

Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation.

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee

Computer, February, 2026

2025

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.

Ho Yin Sam Ng, Ting-Yao Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao 'Kenneth' Huang

CoRR, June, 2025

IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm Detection.

Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee

CoRR, May, 2025

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation.

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee

CoRR, March, 2025

RONA: Pragmatically Diverse Image Captioning with Coherence Relations.

Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee

CoRR, March, 2025

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models.

Harsh Nishant Lalai, Aashish Anantha Ramakrishnan, Raj Sanjay Shah, Dongwon Lee

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.

Ho Yin Sam Ng, Edward Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao 'Kenneth' Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?

Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image Synthesis.

Aashish Anantha Ramakrishnan, Sharon X. Huang, Dongwon Lee

CoRR, 2024

2023

ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions.

Aashish Anantha Ramakrishnan, Sharon X. Huang, Dongwon Lee

CoRR, 2023