Vivek Srikumar
59 papers · 2008–2025 · 12 venues · across top CS/AI venues
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Research topics
Machine Learning
(40)
Natural Language Processing
(29)
Artificial Intelligence
(28)
Core AI
(27)
Deep Learning
(18)
Applications
(18)
Core Methods
(16)
Learning Types Β· Machine Learning
(12)
Learning Types Β· Deep Learning
(11)
Understanding
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(10)
Optimization & Theory
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Architectures
(7)
Resources & Methods
(5)
Knowledge & Reasoning
(3)
Keywords
natural language inference
(8)
semantic role labeling
(4)
text classification
(4)
large language model
(4)
structured prediction
(4)
embedding space
(3)
multi-task learning
(3)
information retrieval
(3)
neural network
(3)
transfer learning
(3)
spurious correlation
(3)
semantic parsing
(3)
contextualized embedding
(3)
multi-label classification
(2)
zero-shot learning
(2)
representation learning
(2)
model robustness
(2)
temporal reasoning
(2)
in-context learning
(2)
relation extraction
(2)
Papers
Distillation versus Contrastive Learning: How to Train Your Rerankers
IJCNLP 2025
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
IJCNLP 2025
LLM-Symbolic Integration for Robust Temporal Tabular Reasoning
ACL 2025
State Space Models are Strong Text Rerankers
NAACL 2025
Understanding the Logic of Direct Preference Alignment through Logic
ICML 2025
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
EMNLP 2024
In-Context Example Ordering Guided by Label Distributions
NAACL 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
Promptly Predicting Structures: The Return of Inference
NAACL 2024
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
NAACL 2024
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
ICLR 2023
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
ACL 2023
Donβt Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
ACL 2023
Elaboration-Generating Commonsense Question Answering at Scale
ACL 2023
Learning Semantic Role Labeling from Compatible Label Sequences
EMNLP 2023
Logic-driven Indirect Supervision: An Application to Crisis Counseling
ACL 2023
METAPROBE: A Representation- and Task-Agnostic Probe
EMNLP 2023
TempTabQA: Temporal Question Answering for Semi-Structured Tables
EMNLP 2023
Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS
ACL 2023
A Closer Look at How Fine-tuning Changes BERT
ACL 2022
Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches
NAACL 2022
PYLON: A PyTorch Framework for Learning with Constraints
AAAI 2022
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning
ACL 2022
Automatic Entity State Annotation using the VerbNet Semantic Parser
EMNLP 2021
BERT & Family Eat Word Salad: Experiments with Text Understanding
AAAI 2021
DirectProbe: Studying Representations without Classifiers
NAACL 2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
IJCAI 2021
Incorporating External Knowledge to Enhance Tabular Reasoning
NAACL 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
Putting Words in BERTβs Mouth: Navigating Contextualized Vector Spaces with Pseudowords
EMNLP 2021
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking
ACL 2021
INFOTABS: Inference on Tables as Semi-structured Data
ACL 2020
Learning Constraints for Structured Prediction Using Rectifier Networks
ACL 2020
On Measuring and Mitigating Biased Inferences of Word Embeddings
AAAI 2020
Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose
COLING 2020
Structured Tuning for Semantic Role Labeling
ACL 2020
UNQOVERing Stereotyping Biases via Underspecified Questions
EMNLP 2020
A Logic-Driven Framework for Consistency of Neural Models
EMNLP 2019
Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring
CoNLL 2019
Augmenting Neural Networks with First-order Logic
ACL 2019
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
ACL 2019
On the Limits of Learning to Actively Learn Semantic Representations
CoNLL 2019
Preparing SNACS for Subjects and Objects
ACL 2019
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
ACL 2018
Learning to Speed Up Structured Output Prediction
ICML 2018
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
EMNLP 2018
An Algebra for Feature Extraction
ACL 2017
Integer Linear Programming formulations in Natural Language Processing
EACL 2017
Exploiting Sentence Similarities for Better Alignments
EMNLP 2016
Expressiveness of Rectifier Networks
ICML 2016
Correcting Grammatical Verb Errors
EACL 2014
Learning Distributed Representations for Structured Output Prediction
NeurIPS 2014
Modeling Biological Processes for Reading Comprehension
EMNLP 2014
Margin-based Decomposed Amortized Inference
ACL 2013
On Amortizing Inference Cost for Structured Prediction
EMNLP 2012
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP
NAACL 2012
A Joint Model for Extended Semantic Role Labeling
EMNLP 2011
Discriminative Learning over Constrained Latent Representations
NAACL 2010
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
ACL 2008