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2020 – today
- 2024
[c22]Akshat Gupta, Anurag Rao, Gopala Anumanchipalli:
Model Editing at Scale leads to Gradual and Catastrophic Forgetting. ACL (Findings) 2024: 15202-15232- [c21]Akshat Gupta, Dev Sajnani, Gopala Anumanchipalli:
A Unified Framework for Model Editing. EMNLP (Findings) 2024: 15403-15418 - [c20]Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli:
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing. EMNLP 2024: 21738-21744 - [c19]Ketan Malempati, Akshat Gupta, Kaikai Liu:
Navigating Enterprise Constraints: Building a Hybrid Multi-Modal Mobile Intelligent App. MobileCloud 2024: 1-7 - [i33]Akshat Gupta, Anurag Rao, Gopala Anumanchipalli:
Model Editing at Scale leads to Gradual and Catastrophic Forgetting. CoRR abs/2401.07453 (2024) - [i32]Xiaoyang Song, Yuta Adachi, Jessie Feng, Mouwei Lin, Linhao Yu, Frank Li, Akshat Gupta, Gopala Anumanchipalli, Simerjot Kaur:
Identifying Multiple Personalities in Large Language Models with External Evaluation. CoRR abs/2402.14805 (2024) - [i31]Akshat Gupta, Gopala Anumanchipalli:
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing. CoRR abs/2403.07175 (2024) - [i30]Akshat Gupta, Dev Sajnani, Gopala Anumanchipalli:
A Unified Framework for Model Editing. CoRR abs/2403.14236 (2024) - [i29]Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul:
Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions. CoRR abs/2404.01812 (2024) - [i28]Junsang Yoon, Akshat Gupta, Gopala Anumanchipalli:
Is Bigger Edit Batch Size Always Better? - An Empirical Study on Model Editing with Llama-3. CoRR abs/2405.00664 (2024) - [i27]Akshat Gupta, Atahan Ozdemir, Gopala Anumanchipalli:
Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and a Comparative Study with RMSNorm. CoRR abs/2409.12951 (2024) - [i26]Fazal Mittu, Yihuan Bu, Akshat Gupta, Ashok Devireddy, Alp Eren Ozdarendeli, Anant Singh, Gopala Anumanchipalli:
FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression. CoRR abs/2409.17141 (2024) - [i25]Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W. Black, Gopala Krishna Anumanchipalli:
Sylber: Syllabic Embedding Representation of Speech from Raw Audio. CoRR abs/2410.07168 (2024) - 2023
- [c18]Pierrette Mahoro Mastel, Ester Namara, Aime Munezero, Richard Kagame, Zihan Wang, Allan Anzagira, Akshat Gupta, Jema David Ndibwile:
Natural Language Understanding for African Languages. AfricaNLP 2023 - [c17]Akshat Gupta:
Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling. BlackboxNLP@EMNLP 2023: 56-64 - [c16]Hitesh Sagtani
, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra:
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. SIGIR 2023: 2293-2297 - [c15]Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah:
REFinD: Relation Extraction Financial Dataset. SIGIR 2023: 3054-3063 - [c14]Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta:
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR 2023: 3464-3467 - [c13]Akshat Gupta, Xiaomo Liu, Sameena Shah:
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. WASSA@ACL 2023: 184-193 - [i24]Xiaoyang Song, Akshat Gupta, Kiyan Mohebbizadeh, Shujie Hu, Anant Singh:
Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs. CoRR abs/2305.14693 (2023) - [i23]Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah:
REFinD: Relation Extraction Financial Dataset. CoRR abs/2305.18322 (2023) - [i22]Akshat Gupta:
Probing Quantifier Comprehension in Large Language Models. CoRR abs/2306.07384 (2023) - [i21]Akshat Gupta, Laxman Singh Tomar, Ridhima Garg:
GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks. CoRR abs/2306.10392 (2023) - [i20]Akshat Gupta, Xiaomo Liu, Sameena Shah:
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. CoRR abs/2307.10210 (2023) - [i19]Anant Singh, Akshat Gupta:
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition. CoRR abs/2308.08713 (2023) - [i18]Akshat Gupta:
Are ChatGPT and GPT-4 Good Poker Players? - A Pre-Flop Analysis. CoRR abs/2308.12466 (2023) - [i17]Akshat Gupta, Xiaoyang Song, Gopala Anumanchipalli:
Investigating the Applicability of Self-Assessment Tests for Personality Measurement of Large Language Models. CoRR abs/2309.08163 (2023) - 2022
- [c12]Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh, Gabriel Shen Han Ng, Akshat Gupta:
TransPOS: Transformers for Consolidating Different POS Tagset Datasets. W-NUT@COLING 2022: 90-95 - [c11]Alec Louis Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. SMM4H@COLING 2022: 135-137 - [c10]Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling. SMM4H@COLING 2022: 160-162 - [c9]Leung Wai Liu, Akshat Gupta, Saheed Obitayo, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks. SMM4H@COLING 2022: 163-167 - [c8]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent classification using pre-trained language agnostic embeddings for low resource languages. INTERSPEECH 2022: 3473-3477 - [c7]Zihan Wang, Qi Meng, HaiFeng Lan, XinRui Zhang, KeHao Guo, Akshat Gupta:
Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search. SLT 2022: 806-813 - [i16]Akshat Gupta:
On Building Spoken Language Understanding Systems for Low Resourced Languages. CoRR abs/2205.12818 (2022) - [i15]Alec Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. CoRR abs/2209.10763 (2022) - [i14]Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh, Gabriel Shen Han Ng, Akshat Gupta:
TransPOS: Transformers for Consolidating Different POS Tagset Datasets. CoRR abs/2209.11959 (2022) - [i13]Zihan Wang, Qi Meng, HaiFeng Lan, XinRui Zhang, KeHao Guo, Akshat Gupta:
Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search. CoRR abs/2211.08237 (2022) - 2021
- [j2]Anusha Vupputuri, Akshat Gupta, Nirmalya Ghosh:
MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI. Comput. Biol. Medicine 136: 104724 (2021) - [c6]Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi, Alan W. Black:
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data. CALCS@NAACL 2021: 103-112 - [c5]Akshat Gupta, Olivia Deng, Akruti Kushwaha, Saloni Mittal, William Zeng, Sai Krishna Rallabandi, Alan W. Black:
Intent Recognition and Unsupervised Slot Identification for Low-Resourced Spoken Dialog Systems. ASRU 2021: 853-860 - [c4]Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi, Alan W. Black:
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages. ICASSP 2021: 7453-7457 - [c3]Sunil Kumar, Akshat Gupta, Vivek Kumar, Sridutt Bhalachandra:
Cuttlefish: library for achieving energy efficiency in multicore parallel programs. SC 2021: 81 - [i12]Sai Muralidhar Jayanthi, Akshat Gupta:
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification. CoRR abs/2102.01051 (2021) - [i11]Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data. CoRR abs/2102.12407 (2021) - [i10]Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi, Alan W. Black:
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data. CoRR abs/2103.14797 (2021) - [i9]Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems. CoRR abs/2104.01287 (2021) - [i8]Zhiyuan Guo, Yuexin Li, Guo Chen, Xingyu Chen, Akshat Gupta:
Word-Free Spoken Language Understanding for Mandarin-Chinese. CoRR abs/2107.00186 (2021) - [i7]Sunil Kumar, Akshat Gupta, Vivek Kumar, Sridutt Bhalachandra:
Cuttlefish: Library for Achieving Energy Efficiency in Multicore Parallel Programs. CoRR abs/2110.00617 (2021) - [i6]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. CoRR abs/2110.09264 (2021) - 2020
- [c2]Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti:
Multimodal Word Sense Disambiguation in Creative Practice. ICMLA 2020: 294-301 - [i5]Akshat Gupta, Prasad N. R:
Blind Descent: A Prequel to Gradient Descent. CoRR abs/2006.11505 (2020) - [i4]Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti:
Multimodal Word Sense Disambiguation in Creative Practice. CoRR abs/2007.07758 (2020) - [i3]Akshat Gupta, Milan Desai, Wusheng Liang, Magesh Kannan:
Spatiotemporal Action Recognition in Restaurant Videos. CoRR abs/2008.11149 (2020) - [i2]Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Mere account mein kitna balance hai? - On building voice enabled Banking Services for Multilingual Communities. CoRR abs/2010.16411 (2020) - [i1]Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi, Alan W. Black:
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages. CoRR abs/2011.03646 (2020)
2010 – 2019
- 2019
- [c1]Akshat Gupta, Anusha Vupputuri, Nirmalya Ghosh:
Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture. EMBC 2019: 6730-6733
2000 – 2009
- 2007
- [j1]Ashish Taneja, Aakash Kushwah, Akshat Gupta, Vipin B. Vats:
TeleLab-A Remote Monitoring and Control System. Int. J. Online Eng. 3(1) (2007)
Coauthor Index
aka: Gopala Anumanchipalli
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last updated on 2024-11-18 20:47 CET by the dblp team
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