Ramaneswaran S.

20 papers A* 4A 1Journal 10Unranked 5
YearRankTypeTitle / 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