Importance of Semantic Representation: Dataless Classification. - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth 001; Vivek Srikumar (AAAI, 2008)

Proactive Intrusion Detection. - Benjamin Liebald; Dan Roth 001; Neelay Shah; Vivek Srikumar (AAAI, 2008)

Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. - Vivek Srikumar; Roi Reichart; Mark Sammons; Ari Rappoport; Dan Roth 001 (ACL, 2008)

Relation Alignment for Textual Entailment Recognition. - Mark Sammons; V. G. Vinod Vydiswaran; Tim Vieira; Nikhil Johri; Ming-Wei Chang; Dan Goldwasser; Vivek Srikumar; Gourab Kundu; Yuancheng Tu; Kevin Small; Joshua S. Rule; Quang Do; et al. (TAC, 2009)

Structured Output Learning with Indirect Supervision. - Ming-Wei Chang; Vivek Srikumar; Dan Goldwasser; Dan Roth 001 (ICML, 2010)

Discriminative Learning over Constrained Latent Representations. - Ming-Wei Chang; Dan Goldwasser; Dan Roth 001; Vivek Srikumar (HLT-NAACL, 2010)

A Joint Model for Extended Semantic Role Labeling. - Vivek Srikumar; Dan Roth 001 (EMNLP, 2011)

Structured prediction with indirect supervision. - Ming-Wei Chang; James Clarke; Dan Goldwasser; Lev-Arie Ratinov; Vivek Srikumar; Dan Roth 001 (MLSLP, 2011)

Learning shared body plans. - Ian Endres; Vivek Srikumar; Ming-Wei Chang; Derek Hoiem (CVPR, 2012)

On Amortizing Inference Cost for Structured Prediction. - Vivek Srikumar; Gourab Kundu; Dan Roth 001 (EMNLP-CoNLL, 2012)

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). - James Clarke; Vivek Srikumar; Mark Sammons; Dan Roth 001 (LREC, 2012)

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. - Dan Goldwasser; Vivek Srikumar; Dan Roth 001 (HLT-NAACL, 2012)

Margin-based Decomposed Amortized Inference. - Gourab Kundu; Vivek Srikumar; Dan Roth 001 (ACL (1), 2013)

Multi-core Structural SVM Training. - Kai-Wei Chang; Vivek Srikumar; Dan Roth 001 (ECML/PKDD (2), 2013)

An Inventory of Preposition Relations - Vivek Srikumar; Dan Roth 001 (CoRR, 2013)

Modeling Semantic Relations Expressed by Prepositions. - Vivek Srikumar; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2013)

The semantics of role labeling - Vivek Srikumar (2013)

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. - Sebastian Riedel 001; Sameer Singh 001; Vivek Srikumar; Tim Rocktäschel; Larysa Visengeriyeva; Jan Noessner (StarAI@AAAI, 2014)

Correcting Grammatical Verb Errors. - Alla Rozovskaya; Dan Roth 001; Vivek Srikumar (EACL, 2014)

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 (EMNLP, 2014)

Learning Distributed Representations for Structured Output Prediction. - Vivek Srikumar; Christopher D. Manning (NIPS, 2014)

A Hierarchy with, of, and for Preposition Supersenses. - Nathan Schneider 001; Vivek Srikumar; Jena D. Hwang; Martha Palmer (LAW@NAACL-HLT, 2015)

RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry. - Nina McCurdy; Vivek Srikumar; Miriah D. Meyer (CLfL@NAACL-HLT, 2015)

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 (CLPsych@HLT-NAACL, 2015)

IllinoisSL: A JAVA Library for Structured Prediction. - Kai-Wei Chang; Shyam Upadhyay; Ming-Wei Chang; Vivek Srikumar; Dan Roth 001 (CoRR, 2015)

A Corpus of Preposition Supersenses. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Abhijit Suresh; Kathryn Conger; Tim O'Gorman; Martha Palmer (LAW@ACL, 2016)

Exploiting Sentence Similarities for Better Alignments. - Tao Li 039; Vivek Srikumar (EMNLP, 2016)

Expressiveness of Rectifier Networks. - Xingyuan Pan; Vivek Srikumar (ICML, 2016)

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 002; R. Stanley Williams; Vivek Srikumar (ISCA, 2016)

EDISON: Feature Extraction for NLP, Simplified. - Mark Sammons; Christos Christodoulopoulos 001; Parisa Kordjamshidi; Daniel Khashabi; Vivek Srikumar; Dan Roth 001 (LREC, 2016)

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 (CLPsych@HLT-NAACL, 2016)

Continuous Kernel Learning. - John Moeller; Vivek Srikumar; Sarathkrishna Swaminathan; Suresh Venkatasubramanian; Dustin Webb (ECML/PKDD (2), 2016)

A corpus of preposition supersenses in English web reviews. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Kathryn Conger; Tim O'Gorman; Martha Palmer (CoRR, 2016)

An Algebra for Feature Extraction. - Vivek Srikumar (ACL (1), 2017)

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. - Min Du 003; Feifei Li 001; Guineng Zheng; Vivek Srikumar (CCS, 2017)

Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (*SEM, 2017)

Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (CoRR, 2017)

Adposition Supersenses v2. - Nathan Schneider 001; Jena D. Hwang; Archna Bhatia; Na-Rae Han; Vivek Srikumar; Tim O'Gorman; Omri Abend (CoRR, 2017)

Comprehensive Supersense Disambiguation of English Prepositions and Possessives. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Jakob Prange; Austin Blodgett; Sarah R. Moeller; Aviram Stern; Adi Bitan; Omri Abend (ACL (1), 2018)

Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. - Shusen Liu 001; Tao Li 039; Zhimin Li; Vivek Srikumar; Valerio Pascucci; Peer-Timo Bremer (EMNLP (Demonstration), 2018)

Learning to Speed Up Structured Output Prediction. - Xingyuan Pan; Vivek Srikumar (ICML, 2018)

CogCompNLP: Your Swiss Army Knife for NLP. - Daniel Khashabi; Mark Sammons; Ben Zhou; Tom Redman; Christos Christodoulopoulos 001; Vivek Srikumar; Nicholas Rizzolo; Lev-Arie Ratinov; Guanheng Luo; Quang Do; Chen-Tse Tsai; Subhro Roy; et al. (LREC, 2018)

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. - Anirban Nag; Ali Shafiee; Rajeev Balasubramonian; Vivek Srikumar; Naveen Muralimanohar (CoRR, 2018)

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. - Anirban Nag; Rajeev Balasubramonian; Vivek Srikumar; Ross Walker 001; Ali Shafiee; John Paul Strachan; Naveen Muralimanohar (IEEE Micro, 2018)

Visual Exploration of Semantic Relationships in Neural Word Embeddings. - Shusen Liu 001; Peer-Timo Bremer; Jayaraman J. Thiagarajan; Vivek Srikumar; Bei Wang 001; Yarden Livnat; Valerio Pascucci (IEEE Trans. Vis. Comput. Graph., 2018)

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. - Jie Cao 010; Michael Tanana; Zac E. Imel; Eric Poitras; David C. Atkins; Vivek Srikumar (ACL (1), 2019)

Augmenting Neural Networks with First-order Logic. - Tao Li 039; Vivek Srikumar (ACL (1), 2019)

Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. - Jie Cao 010; Yi Zhang; Adel Youssef; Vivek Srikumar (CoNLL Shared Task, 2019)

On the Limits of Learning to Actively Learn Semantic Representations. - Omri Koshorek; Gabriel Stanovsky; Yichu Zhou; Vivek Srikumar; Jonathan Berant (CoNLL, 2019)

A Logic-Driven Framework for Consistency of Neural Models. - Tao Li 039; Vivek Gupta 001; Maitrey Mehta; Vivek Srikumar (EMNLP/IJCNLP (1), 2019)

Beyond Context: A New Perspective for Word Embeddings. - Yichu Zhou; Vivek Srikumar (*SEM@NAACL-HLT, 2019)

Learning In Practice: Reasoning About Quantization. - Annie Cherkaev; Waiming Tai; Jeff M. Phillips; Vivek Srikumar (CoRR, 2019)

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. - Shusen Liu 001; Zhimin Li; Tao Li 039; Vivek Srikumar; Valerio Pascucci; Peer-Timo Bremer (IEEE Trans. Vis. Comput. Graph., 2019)

On Measuring and Mitigating Biased Inferences of Word Embeddings. - Sunipa Dev; Tao Li 039; Jeff M. Phillips; Vivek Srikumar (AAAI, 2020)

INFOTABS: Inference on Tables as Semi-structured Data. - Vivek Gupta 001; Maitrey Mehta; Pegah Nokhiz; Vivek Srikumar (ACL, 2020)

Structured Tuning for Semantic Role Labeling. - Tao Li 039; Parth Anand Jawale; Martha Palmer; Vivek Srikumar (ACL, 2020)

Learning Constraints for Structured Prediction Using Rectifier Networks. - Xingyuan Pan; Maitrey Mehta; Vivek Srikumar (ACL, 2020)

Secrets in Source Code: Reducing False Positives using Machine Learning. - Aakanksha Saha; Tamara Denning; Vivek Srikumar; Sneha Kumar Kasera (COMSNETS, 2020)

UNQOVERing Stereotypical Biases via Underspecified Questions. - Tao Li 039; Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Vivek Srikumar (EMNLP (Findings), 2020)

A Simple Global Neural Discourse Parser. - Yichu Zhou; Omri Koshorek; Vivek Srikumar; Jonathan Berant (CoRR, 2020)

UnQovering Stereotyping Biases via Underspecified Questions. - Tao Li 039; Tushar Khot; Daniel Khashabi; Ashish Sabharwal; Vivek Srikumar (CoRR, 2020)

BERT & Family Eat Word Salad: Experiments with Text Understanding. - Ashim Gupta; Giorgi Kvernadze; Vivek Srikumar (AAAI, 2021)

X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. - Ashim Gupta; Vivek Srikumar (ACL/IJCNLP (2), 2021)

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. - Sunipa Dev; Tao Li 039; Jeff M. Phillips; Vivek Srikumar (EMNLP (1), 2021)

Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. - Taelin Karidi; Yichu Zhou; Nathan Schneider 001; Omri Abend; Vivek Srikumar (EMNLP (1), 2021)

Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. - Mattia Medina Grespan; Ashim Gupta; Vivek Srikumar (IJCAI, 2021)

A Visual Tour of Bias Mitigation Techniques for Word Representations. - Archit Rathore; Sunipa Dev; Jeff M. Phillips; Vivek Srikumar; Bei Wang 001 (KDD, 2021)

Incorporating External Knowledge to Enhance Tabular Reasoning. - J. Neeraja; Vivek Gupta 001; Vivek Srikumar (NAACL-HLT, 2021)

DirectProbe: Studying Representations without Classifiers. - Yichu Zhou; Vivek Srikumar (NAACL-HLT, 2021)

An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. - Archit Rathore; Sunipa Dev; Vivek Srikumar; Jeff M. Phillips; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (NeurIPS (Competition and Demos), 2021)

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. - Archit Rathore; Sunipa Dev; Jeff M. Phillips; Vivek Srikumar; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (CoRR, 2021)

REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. - Ricardo Bigolin Lanfredi; Mingyuan Zhang; William F. Auffermann; Jessica Chan; Phuong-Anh T. Duong; Vivek Srikumar; Trafton Drew; Joyce D. Schroeder; Tolga Tasdizen (CoRR, 2021)

Database Workload Characterization with Query Plan Encoders. - Debjyoti Paul; Jie Cao 010; Feifei Li 001; Vivek Srikumar (Proc. VLDB Endow., 2021)

Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. - Jakob Prange; Nathan Schneider 001; Vivek Srikumar (Trans. Assoc. Comput. Linguistics, 2021)

PYLON: A PyTorch Framework for Learning with Constraints. - Kareem Ahmed; Tao Li 039; Thy Ton; Quan Guo; Kai-Wei Chang; Parisa Kordjamshidi; Vivek Srikumar; Guy Van den Broeck; Sameer Singh 001 (AAAI, 2022)

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. - Vivek Gupta 001; Shuo Zhang 006; Alakananda Vempala; Yujie He 003; Temma Choji; Vivek Srikumar (ACL (1), 2022)

A Closer Look at How Fine-tuning Changes BERT. - Yichu Zhou; Vivek Srikumar (ACL (1), 2022)

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (CoRR, 2022)

Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. - Vivek Gupta 001; Riyaz A. Bhat; Atreya Ghosal; Manish Shrivastava 001; Maneesh Kumar Singh 001; Vivek Srikumar (Trans. Assoc. Comput. Linguistics, 2022)

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 (ACL (1), 2023)

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 (ACL (1), 2023)

Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS. - Maitrey Mehta; Vivek Srikumar (ACL (Findings), 2023)

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 001; Chandra Bhagavatula (ACL (1), 2023)

Elaboration-Generating Commonsense Question Answering at Scale. - Wenya Wang 001; Vivek Srikumar; Hannaneh Hajishirzi; Noah A. Smith (ACL (1), 2023)

METAPROBE: A Representation- and Task-Agnostic Probe. - Yichu Zhou; Vivek Srikumar (BlackboxNLP@EMNLP, 2023)

TempTabQA: Temporal Question Answering for Semi-Structured Tables. - Vivek Gupta 001; Pranshu Kandoi; Mahek Bhavesh Vora; Shuo Zhang 006; Yujie He 003; Ridho Reinanda; Vivek Srikumar (EMNLP, 2023)

Learning Semantic Role Labeling from Compatible Label Sequences. - Tao Li 039; Ghazaleh Kazeminejad; Susan Windisch Brown; Vivek Srikumar; Martha Palmer (EMNLP (Findings), 2023)

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. - Bhargavi Paranjape; Pradeep Dasigi; Vivek Srikumar; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2023)

The Integer Linear Programming Inference Cookbook. - Vivek Srikumar; Dan Roth 001 (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

TopoBERT: Exploring the topology of fine-tuned word representations. - Archit Rathore; Yichu Zhou; Vivek Srikumar; Bei Wang 001 (Inf. Vis., 2023)

LogFlux: A Software Suite for Replicating Results in Automated Log Parsing. - Guineng Zheng; Robert Ricci; Vivek Srikumar (ACM-REP, 2024)

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. - Yanai Elazar; Bhargavi Paranjape; Hao Peng 009; Sarah Wiegreffe; Khyathi Raghavi Chandu; Vivek Srikumar; Sameer Singh 001; Noah A. Smith (EMNLP (Findings), 2024)

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. - Zhichao Xu 001; Ashim Gupta; Tao Li 022; Oliver Bentham; Vivek Srikumar (EMNLP (Findings), 2024)

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. - Ashim Gupta; Rishanth Rajendhran; Nathan Stringham; Vivek Srikumar; Ana Marasovic (NAACL-HLT, 2024)

Promptly Predicting Structures: The Return of Inference. - Maitrey Mehta; Valentina Pyatkin; Vivek Srikumar (NAACL-HLT, 2024)

In-Context Example Ordering Guided by Label Distributions. - Zhichao Xu 001; Daniel Cohen; Bei Wang 001; Vivek Srikumar (NAACL-HLT (Findings), 2024)

An In-depth Investigation of User Response Simulation for Conversational Search. - Zhenduo Wang; Zhichao Xu 001; Vivek Srikumar; Qingyao Ai (WWW, 2024)

An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers. - Ashim Gupta; Sina Mahdipour Saravani; P. Sadayappan; Vivek Srikumar (CoRR, 2024)

State Space Models are Strong Text Rerankers. - Zhichao Xu 001; Jinghua Yan; Ashim Gupta; Vivek Srikumar (CoRR, 2024)

Understanding the Logic of Direct Preference Alignment through Logic. - Kyle Richardson 001; Vivek Srikumar; Ashish Sabharwal (CoRR, 2024)

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. - Archit Rathore; Sunipa Dev; Jeff M. Phillips; Vivek Srikumar; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (ACM Trans. Interact. Intell. Syst., 2024)

LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. - Atharv Kulkarni; Kushagra Dixit; Vivek Srikumar; Dan Roth 001; Vivek Gupta 001 (ACL (Findings), 2025)

A Survey of Model Architectures in Information Retrieval. - Zhichao Xu 001; Fengran Mo; Zhiqi Huang; Crystina Zhang; Puxuan Yu; Bei Wang 001; Jimmy Lin; Vivek Srikumar (CoRR, 2025)

Test-Time Scaling with Repeated Sampling Improves Multilingual Text Generation. - Ashim Gupta; Vivek Srikumar (CoRR, 2025)

Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. - Ashim Gupta; Maitrey Mehta; Zhichao Xu 001; Vivek Srikumar (CoRR, 2025)

Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning. - Atharv Kulkarni; Vivek Srikumar (CoRR, 2025)

Distillation versus Contrastive Learning: How to Train Your Rerankers. - Zhichao Xu 001; Zhiqi Huang; Shengyao Zhuang; Ashim Gupta; Vivek Srikumar (CoRR, 2025)

Unequal Voices: How LLMs Construct Constrained Queer Narratives. - Atreya Ghosal; Ashim Gupta; Vivek Srikumar (CoRR, 2025)