Chandra Kiran Reddy Evuru

According to our database1, Chandra Kiran Reddy Evuru authored at least 13 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds.
CoRR, 2024

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.
CoRR, 2024

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions.
CoRR, 2024

VDGD: Mitigating LVLM Hallucinations in Cognitive Prompts by Bridging the Visual Perception Gap.
CoRR, 2024

CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

A Closer Look at the Limitations of Instruction Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Recap: Retrieval-Augmented Audio Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2024

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
ASPIRE: Language-Guided Augmentation for Robust Image Classification.
CoRR, 2023

DALE: Generative Data Augmentation for Low-Resource Legal NLP.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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