Vivek Srikumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
18
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. | Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar |
| 2025 | ACL | LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. | Atharv Kulkarni, Kushagra Dixit, Vivek Srikumar, Dan Roth, Vivek Gupta |
| 2025 | ICML | Understanding the Logic of Direct Preference Alignment through Logic. | Kyle Richardson, Vivek Srikumar, Ashish Sabharwal |
| 2025 | IJCNLP | Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. | Ashim Gupta, Maitrey Mehta, Zhichao Xu, Vivek Srikumar |
| 2025 | IJCNLP | Distillation versus Contrastive Learning: How to Train Your Rerankers. | Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Vivek Srikumar |
| 2024 | EMNLP | Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. | Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith |
| 2024 | EMNLP | Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. | Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar |
| 2024 | NAACL | Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. | Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic |
| 2024 | NAACL | Promptly Predicting Structures: The Return of Inference. | Maitrey Mehta, Valentina Pyatkin, Vivek Srikumar |
| 2024 | NAACL | In-Context Example Ordering Guided by Label Distributions. | Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar |
| 2024 | WWW | An In-depth Investigation of User Response Simulation for Conversational Search. | Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai |
| 2023 | ACL | Logic-driven Indirect Supervision: An Application to Crisis Counseling. | Mattia Medina Grespan, Meghan Broadbent, Xinyao Zhang, Katherine Axford, Brent Kious, Zac E. Imel, Vivek Srikumar |
| 2023 | ACL | Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. | Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar |
| 2023 | ACL | Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS. | Maitrey Mehta, Vivek Srikumar |
| 2023 | ACL | ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. | Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula |
| 2023 | ACL | Elaboration-Generating Commonsense Question Answering at Scale. | Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith |
| 2023 | EMNLP | TempTabQA: Temporal Question Answering for Semi-Structured Tables. | Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar |
| 2023 | EMNLP | Learning Semantic Role Labeling from Compatible Label Sequences. | Tao Li, Ghazaleh Kazeminejad, Susan Windisch Brown, Vivek Srikumar, Martha Palmer |
| 2023 | ICLR | AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. | Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | AAAI | PYLON: A PyTorch Framework for Learning with Constraints. | Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | ACL | Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. | Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar |
| 2022 | ACL | A Closer Look at How Fine-tuning Changes BERT. | Yichu Zhou, Vivek Srikumar |
| 2021 | AAAI | BERT & Family Eat Word Salad: Experiments with Text Understanding. | Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar |
| 2021 | ACL | X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. | Ashim Gupta, Vivek Srikumar |
| 2021 | EMNLP | OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. | Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar |
| 2021 | EMNLP | Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. | Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar |
| 2021 | IJCAI | Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. | Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar |
| 2021 | KDD | A Visual Tour of Bias Mitigation Techniques for Word Representations. | Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang |
| 2021 | NAACL | Incorporating External Knowledge to Enhance Tabular Reasoning. | J. Neeraja, Vivek Gupta, Vivek Srikumar |
| 2021 | NAACL | DirectProbe: Studying Representations without Classifiers. | Yichu Zhou, Vivek Srikumar |
| 2020 | AAAI | On Measuring and Mitigating Biased Inferences of Word Embeddings. | Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar |
| 2020 | ACL | INFOTABS: Inference on Tables as Semi-structured Data. | Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar |
| 2020 | ACL | Structured Tuning for Semantic Role Labeling. | Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar |
| 2020 | ACL | Learning Constraints for Structured Prediction Using Rectifier Networks. | Xingyuan Pan, Maitrey Mehta, Vivek Srikumar |
| 2020 | COMSNETS | Secrets in Source Code: Reducing False Positives using Machine Learning. | Aakanksha Saha, Tamara Denning, Vivek Srikumar, Sneha Kumar Kasera |
| 2020 | EMNLP | UNQOVERing Stereotypical Biases via Underspecified Questions. | Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar |
| 2019 | ACL | Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. | Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar |
| 2019 | ACL | Augmenting Neural Networks with First-order Logic. | Tao Li, Vivek Srikumar |
| 2019 | CoNLL | Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. | Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar |
| 2019 | CoNLL | On the Limits of Learning to Actively Learn Semantic Representations. | Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant |
| 2019 | EMNLP | A Logic-Driven Framework for Consistency of Neural Models. | Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar |
| 2018 | ACL | Comprehensive Supersense Disambiguation of English Prepositions and Possessives. | Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend |
| 2018 | EMNLP | Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. | Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer |
| 2018 | ICML | Learning to Speed Up Structured Output Prediction. | Xingyuan Pan, Vivek Srikumar |
| 2018 | LREC | CogCompNLP: Your Swiss Army Knife for NLP. | Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth |
| 2017 | ACL | An Algebra for Feature Extraction. | Vivek Srikumar |
| 2017 | CCS | DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. | Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar |
| 2016 | EMNLP | Exploiting Sentence Similarities for Better Alignments. | Tao Li, Vivek Srikumar |
| 2016 | ICML | Expressiveness of Rectifier Networks. | Xingyuan Pan, Vivek Srikumar |
| 2016 | ISCA | ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. | Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar |
| 2016 | LREC | EDISON: Feature Extraction for NLP, Simplified. | Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth |
| 2016 | NAACL | Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database. | Michael Tanana, Aaron Dembe, Christina Soma, Zac E. Imel, David C. Atkins, Vivek Srikumar |
| 2015 | NAACL | Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing. | Michael Tanana, Kevin Hallgren, Zac E. Imel, David C. Atkins, Padhraic Smyth, Vivek Srikumar |
| 2014 | AAAI | WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. | Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktschel, Larysa Visengeriyeva, Jan Noessner |
| 2014 | EACL | Correcting Grammatical Verb Errors. | Alla Rozovskaya, Dan Roth, Vivek Srikumar |
| 2014 | EMNLP | Modeling Biological Processes for Reading Comprehension. | Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning |
| 2013 | ACL | Margin-based Decomposed Amortized Inference. | Gourab Kundu, Vivek Srikumar, Dan Roth |
| 2012 | CVPR | Learning shared body plans. | Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem |
| 2012 | EMNLP | On Amortizing Inference Cost for Structured Prediction. | Vivek Srikumar, Gourab Kundu, Dan Roth |
| 2012 | LREC | An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). | James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth |
| 2012 | NAACL | Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. | Dan Goldwasser, Vivek Srikumar, Dan Roth |
| 2011 | EMNLP | A Joint Model for Extended Semantic Role Labeling. | Vivek Srikumar, Dan Roth |
| 2010 | ICML | Structured Output Learning with Indirect Supervision. | Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth |
| 2010 | NAACL | Discriminative Learning over Constrained Latent Representations. | Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar |
| 2008 | AAAI | Importance of Semantic Representation: Dataless Classification. | Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar |
| 2008 | AAAI | Proactive Intrusion Detection. | Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar |
| 2008 | ACL | Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. | Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth |