Sravan Babu Bodapati

According to our database1, Sravan Babu Bodapati authored at least 39 papers between 2018 and 2024.

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Bibliography

2024
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning.
CoRR, 2024

SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins.
CoRR, 2024

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge.
CoRR, 2024

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
CoRR, 2024

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Dynamic Chuck Convolution for Unified Streaming And Non-streaming Conformer ASR.
CoRR, 2023

Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Dynamic Chunk Convolution for Unified Streaming and Non-Streaming Conformer ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-teacher Distillation for Multilingual Spelling Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

AdaBERT-CTC: Leveraging BERT-CTC for Text-Only Domain Adaptation in ASR.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Retrieve and Copy: Scaling ASR Personalization to Large Catalogs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Generalized Zero-Shot Audio-to-Intent Classification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Masked Audio Text Encoders are Effective Multi-Modal Rescorers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Device Directedness with Contextual Cues for Spoken Dialog Systems.
CoRR, 2022

Personalization of CTC Speech Recognition Models.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Contextual Acoustic Barge-In Classification for Spoken Dialog Systems.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Efficient domain adaptation of language models in ASR systems using Prompt-tuning.
CoRR, 2021

ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling.
CoRR, 2021

"What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents.
CoRR, 2021

Adapting Long Context NLM for ASR Rescoring in Conversational Agents.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Neural Inverse Text Normalization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Remember the Context! ASR Slot Error Correction Through Memorization.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Towards Semi-Supervised Semantics Understanding from Speech.
CoRR, 2020

Robust Prediction of Punctuation and Truecasing for Medical ASR.
CoRR, 2020

Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks.
CoRR, 2020

Multimodal Semi-Supervised Learning Framework for Punctuation Prediction in Conversational Speech.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability.
CoRR, 2019

Neural Word Decomposition Models for Abusive Language Detection.
CoRR, 2019

Multi Sense Embeddings from Topic Models.
Proceedings of the 3rd International Conference on Natural Language and Speech Processing, 2019

Robustness to Capitalization Errors in Named Entity Recognition.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018
A Machine Learning Approach to Detecting Start Reading Location of eBooks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018


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