Ramaneswaran S.

20 papers A* 4A 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	A Closer Look at the Limitations of Instruction Tuning. ICML Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha
2024	J	`jnl`	A Closer Look at the Limitations of Instruction Tuning. CoRR Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha
2024	—	`conf`	ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions. ACL (1) Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramaneswaran S., S. Sakshi, Dinesh Manocha
2024	—	`conf`	CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP. NAACL-HLT (Findings) Chandra Kiran Reddy Evuru, Sreyan Ghosh, Sonal Kumar, Ramaneswaran S., Utkarsh Tyagi, Dinesh Manocha
2024	J	`jnl`	CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP. CoRR Chandra Kiran Reddy Evuru, Sreyan Ghosh, Sonal Kumar, Ramaneswaran S., Utkarsh Tyagi, Dinesh Manocha
2024	A*	`conf`	CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models. ICLR Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Reddy Evuru, Ramaneswaran S., Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
2024	A	`conf`	Composite Diffusion: whole >= Σparts. WACV Vikram Jamwal, Ramaneswaran S.
2024	J	`jnl`	Emotion-Aware Multimodal Fusion for Meme Emotion Detection. CoRR Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty
2024	J	`jnl`	Emotion-Aware Multimodal Fusion for Meme Emotion Detection. IEEE Trans. Affect. Comput. Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty
2023	—	`conf`	ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. ACL (1) Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha
2023	J	`jnl`	ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. CoRR Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha
2023	J	`jnl`	CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models. CoRR Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Reddy Evuru, Ramaneswaran S., Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
2023	J	`jnl`	Composite Diffusion \| whole >= Σparts. CoRR Vikram Jamwal, Ramaneswaran S.
2023	A*	`conf`	DALE: Generative Data Augmentation for Low-Resource Legal NLP. EMNLP Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Sakshi Singh, Utkarsh Tyagi, Dinesh Manocha
2023	J	`jnl`	DALE: Generative Data Augmentation for Low-Resource Legal NLP. CoRR Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Sakshi Singh, Utkarsh Tyagi, Dinesh Manocha
2023	A*	`conf`	From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. EMNLP Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty
2023	J	`jnl`	From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. CoRR Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty
2023	—	`conf`	MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. ACL (1) Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty
2023	J	`jnl`	MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. CoRR Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty
2022	—	`conf`	Span Extraction Aided Improved Code-mixed Sentiment Classification. W-NUT@COLING Ramaneswaran S., Sean Benhur, Sreyan Ghosh