TeleLab-A Remote Monitoring and Control System. - Ashish Taneja; Aakash Kushwah; Akshat Gupta; Vipin B. Vats (Int. J. Online Eng., 2007)

Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture. - Akshat Gupta; Anusha Vupputuri; Nirmalya Ghosh (EMBC, 2019)

Multimodal Word Sense Disambiguation in Creative Practice. - Manuel Ladron de Guevara; Christopher George; Akshat Gupta; Daragh Byrne; Ramesh Krishnamurti (ICMLA, 2020)

Blind Descent: A Prequel to Gradient Descent. - Akshat Gupta; Prasad N. R (CoRR, 2020)

Spatiotemporal Action Recognition in Restaurant Videos. - Akshat Gupta; Milan Desai; Wusheng Liang; Magesh Kannan (CoRR, 2020)

Mere account mein kitna balance hai? - On building voice enabled Banking Services for Multilingual Communities. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2020)

Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data. - Akshat Gupta; Sargam Menghani; Sai Krishna Rallabandi; Alan W. Black (CALCS@NAACL, 2021)

Intent Recognition and Unsupervised Slot Identification for Low-Resourced Spoken Dialog Systems. - Akshat Gupta; Olivia Deng; Akruti Kushwaha; Saloni Mittal; William Zeng; Sai Krishna Rallabandi; Alan W. Black (ASRU, 2021)

Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages. - Akshat Gupta; Xinjian Li; Sai Krishna Rallabandi; Alan W. Black (ICASSP, 2021)

Cuttlefish: library for achieving energy efficiency in multicore parallel programs. - Sunil Kumar 001; Akshat Gupta; Vivek Kumar 001; Sridutt Bhalachandra (SC, 2021)

MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI. - Anusha Vupputuri; Akshat Gupta; Nirmalya Ghosh (Comput. Biol. Medicine, 2021)

SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification. - Sai Muralidhar Jayanthi; Akshat Gupta (CoRR, 2021)

Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2021)

Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2021)

Word-Free Spoken Language Understanding for Mandarin-Chinese. - Zhiyuan Guo; Yuexin Li; Guo Chen 001; Xingyu Chen; Akshat Gupta (CoRR, 2021)

Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (CoRR, 2021)

AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. - Alec Louis Candidato; Akshat Gupta; Xiaomo Liu; Sameena Shah (SMM4H@COLING, 2022)

AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling. - Adrian Garcia Hernandez; Leung Wai Liu; Akshat Gupta; Vineeth Ravi; Saheed O. Obitayo; Xiaomo Liu; Sameena Shah (SMM4H@COLING, 2022)

TransPOS: Transformers for Consolidating Different POS Tagset Datasets. - Alex Li; Ilyas Bankole-Hameed; Ranadeep Singh; Gabriel Shen Han Ng; Akshat Gupta (W-NUT@COLING, 2022)

AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks. - Leung Wai Liu; Akshat Gupta; Saheed Obitayo; Xiaomo Liu; Sameena Shah (SMM4H@COLING, 2022)

Intent classification using pre-trained language agnostic embeddings for low resource languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (INTERSPEECH, 2022)

Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search. - Zihan Wang 006; Qi Meng; HaiFeng Lan; XinRui Zhang; KeHao Guo; Akshat Gupta (SLT, 2022)

On Building Spoken Language Understanding Systems for Low Resourced Languages. - Akshat Gupta (CoRR, 2022)

Natural Language Understanding for African Languages. - Pierrette Mahoro Mastel; Ester Namara; Aime Munezero; Richard Kagame; Zihan Wang 006; Allan Anzagira; Akshat Gupta; Jema David Ndibwile (AfricaNLP, 2023)

Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling. - Akshat Gupta (BlackboxNLP@EMNLP, 2023)

REFinD: Relation Extraction Financial Dataset. - Simerjot Kaur; Charese Smiley; Akshat Gupta; Joy Sain; Dongsheng Wang 005; Suchetha Siddagangappa; Toyin Aguda; Sameena Shah (SIGIR, 2023)

Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. - Hitesh Sagtani; Madan Gopal Jhawar; Akshat Gupta; Rishabh Mehrotra (SIGIR, 2023)

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. - Sameena Shah; Xiaodan Zhu 001; Wenhu Chen; Manling Li; Armineh Nourbakhsh; Xiaomo Liu; Zhiqiang Ma; Charese Smiley; Yulong Pei; Akshat Gupta (SIGIR, 2023)

Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. - Akshat Gupta; Xiaomo Liu; Sameena Shah (WASSA@ACL, 2023)

Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs. - Xiaoyang Song; Akshat Gupta; Kiyan Mohebbizadeh; Shujie Hu; Anant Singh (CoRR, 2023)

Probing Quantifier Comprehension in Large Language Models. - Akshat Gupta (CoRR, 2023)

GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks. - Akshat Gupta; Laxman Singh Tomar; Ridhima Garg (CoRR, 2023)

Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition. - Anant Singh; Akshat Gupta (CoRR, 2023)

Are ChatGPT and GPT-4 Good Poker Players? - A Pre-Flop Analysis. - Akshat Gupta (CoRR, 2023)

Investigating the Applicability of Self-Assessment Tests for Personality Measurement of Large Language Models. - Akshat Gupta; Xiaoyang Song; Gopala Anumanchipalli (CoRR, 2023)

Model Editing at Scale leads to Gradual and Catastrophic Forgetting. - Akshat Gupta; Anurag Rao; Gopala Anumanchipalli (ACL (Findings), 2024)

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing. - Akshat Gupta; Sidharth Baskaran; Gopala Anumanchipalli (EMNLP, 2024)

A Unified Framework for Model Editing. - Akshat Gupta; Dev Sajnani; Gopala Anumanchipalli (EMNLP (Findings), 2024)

Sampling Rate Adaptive Speaker Verification from Raw Waveforms. - Vinayak Abrol; Anshul Thakur; Akshat Gupta; Xiaomo Liu; Sameena Shah (ICPR (28), 2024)

ActNeRF: Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions. - Saptarshi Dasgupta; Akshat Gupta; Shreshth Tuli; Rohan Paul (IROS, 2024)

Navigating Enterprise Constraints: Building a Hybrid Multi-Modal Mobile Intelligent App. - Ketan Malempati; Akshat Gupta; Kaikai Liu (MobileCloud, 2024)

Identifying Multiple Personalities in Large Language Models with External Evaluation. - Xiaoyang Song; Yuta Adachi; Jessie Feng; Mouwei Lin; Linhao Yu; Frank Li 007; Akshat Gupta; Gopala Anumanchipalli; Simerjot Kaur (CoRR, 2024)

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing. - Akshat Gupta; Gopala Anumanchipalli (CoRR, 2024)

Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions. - Saptarshi Dasgupta; Akshat Gupta; Shreshth Tuli; Rohan Paul (CoRR, 2024)

Is Bigger Edit Batch Size Always Better? - An Empirical Study on Model Editing with Llama-3. - Junsang Yoon; Akshat Gupta; Gopala Anumanchipalli (CoRR, 2024)

Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and a Comparative Study with RMSNorm. - Akshat Gupta; Atahan Ozdemir; Gopala Anumanchipalli (CoRR, 2024)

FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression. - Fazal Mittu; Yihuan Bu; Akshat Gupta; Ashok Devireddy; Alp Eren Ozdarendeli; Anant Singh; Gopala Anumanchipalli (CoRR, 2024)

PokerBench: Training Large Language Models to Become Professional Poker Players. - Richard Zhuang; Akshat Gupta; Richard Yang; Aniket Rahane; Zhengyu Li; Gopala Anumanchipalli (AAAI, 2025)

SeqMMR: Sequential Model Merging and LLM Routing for Enhanced Batched Sequential Knowledge Editing. - Shanbao Qiao; Xuebing Liu; Akshat Gupta; Seung-Hoon Na (ACL (Findings), 2025)

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation. - Sirui Xu 002; Dongting Li; Yucheng Zhang; Xiyan Xu; Qi Long; Ziyin Wang; Yunzhi Lu; Shuchang Dong; Hezi Jiang; Akshat Gupta; Yu-Xiong Wang; Liang-Yan Gui (CVPR, 2025)

CardioRiskNet: Attention-based CVAE-enabled GCN for Risk Prediction in STEMI. - Akshat Gupta; Anubha Gupta; Manu Kumar Shetty; Dixit Goyal; Girish M. P; Mohit D. Gupta (ICASSP, 2025)

Sylber: Syllabic Embedding Representation of Speech from Raw Audio. - Cheol Jun Cho; Nicholas Lee; Akshat Gupta; Dhruv Agarwal 005; Ethan Chen; Alan W. Black; Gopala Anumanchipalli (ICLR, 2025)

Lifelong Sequential Knowledge Editing without Model Degradation. - Akshat Gupta; Phudish Prateepamornkul; Maochuan Lu; Ahmed Alaa; Thomas Hartvigsen; Gopala Anumanchipalli (CoRR, 2025)

Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing. - Akshat Gupta; Christine Fang; Atahan Ozdemir; Maochuan Lu; Ahmed Alaa; Thomas Hartvigsen; Gopala Anumanchipalli (CoRR, 2025)

Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus. - Svetlana Churina; Akshat Gupta; Insyirah Mujtahid; Kokil Jaidka (CoRR, 2025)

Efficient Knowledge Editing via Minimal Precomputation. - Akshat Gupta; Maochuan Lu; Thomas Hartvigsen; Gopala Anumanchipalli (CoRR, 2025)