Publications:

• Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments

FM Fahid, J Rowe, Y Kim, S Srivastava, J Lester

EAAI 2024 

• MaNtLE: Model-agnostic Natural Language Explainer

RR Menon, K Zaman, S Srivastava. 

EMNLP 2023

• Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

Y Li, RR Menon, S Ghosh, S Srivastava

EMNLP 2023

• Manipulating the Perceived Personality Traits of Language Models

 G Caron, S Srivastava

Findings of EMNLP 2023

• Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers

K Wei, S Ghosh, RR Menon, S Srivastava

Findings of EMNLP 2023

• Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture 

B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, Y Li, J Hendler, D Wang

Findings of EMNLP 2023

• LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning

S Ghosh,  RR Menon, S Srivastava

Findings of ACL 2023

• Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models

A Srivastava and others

TMLR 2023

• What do Large Language Models Learn beyond Language?

A Madasu, S Srivastava

Findings of EMNLP 2022

• CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

RR Menon, S Ghosh, S Srivastava

ACL 2022

• ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding

S Ghosh, S Srivastava

ACL 2022 

• Probing Difficulty and Discrimination of Natural Language Questions With Item Response Theory

M Byrd, S Srivastava

ACL 2022 

• Compositional Generalization for Kinship Prediction through Data Augmentation

K Wei, S Ghosh, S Srivastava

Workshop on Narrative Understanding (WNU), 2022

• Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning

S Ghosh, S Srivastava

Findings of EMNLP 2021

• Adversarial Scrubbing of Demographic Information for Text Classification

S Chowdhury, S Ghosh, Y Li, J Oliva, S Srivastava , S Chaturvedi

EMNLP 2021

• Does Social Pressure Drive Persuasion in Online Fora?

A Jain, S Srivastava

EMNLP 2021

• Improving and Simplifying Pattern Exploiting Training

D Tam, RR Menon, M Bansal, S Srivastava, C Raffel

EMNLP 2021

• How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?

S Ghosh, Z Qi, S Chaturvedi, S Srivastava

ACL 2021

• PRover: Proof Generation for Interpretable Reasoning over Rules

S Saha, S Ghosh, S Srivastava, M Bansal

EMNLP 2020

• Learning Web-based procedures by Reasoning over Explanations and Demonstrations in Context

       S Srivastava, A Polozov, N Jojic, C Meek

       ACL 2020

• An Agent for Learning New Natural Language Commands

A Azaria, S Srivastava, J Krishnamurthy, I Labutov, T Mitchell

JAAMAS 2020

• Learning to Ask for Conversational Machine Learning

S Srivastava, I Labutov, T Mitchell

EMNLP 2019

• Teaching Machines to Classify from Natural Language Interactions

S Srivastava

PhD Thesis, CMU 2018

• A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text

       S Srivastava, N Jojic

       ACL 2018

• Zero-shot Learning of Classifiers from Natural Language Quantification

S Srivastava, I Labutov, T Mitchell

ACL 2018

• LIA: A Natural Language Programmable Personal Assistant

I Labutov, S Srivastava, T Mitchell

EMNLP 2018 (System Demos)

       Demo

• Where have I heard this story before? : Identifying Narrative Similarity in Movie Remakes

S Chaturvedi, S Srivastava, D Roth

NAACL 2018 (short)

• Learning Classifiers from Declarative Language

 S Srivastava, I Labutov, T Mitchell

NIPS Workshop on Learning from Limited Data 2017

• Joint Concept Learning and Semantic Parsing from Natural Language Explanations

 S Srivastava, I Labutov, T Mitchell

EMNLP 2017

• Parsing Natural Language Conversations with Contextual Cues

 S Srivastava, A Azaria, T Mitchell

IJCAI 2017

• Inferring Interpersonal Relations in Narrative Summaries

 S Srivastava, S Chaturvedi, T Mitchell

AAAI 2016

• Modeling Evolving Relationships Between Characters in Literary Novels

S Chaturvedi, S Srivastava, H Daume, C Dyer

AAAI 2016

• CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking

B Yang, N Nakashole, B Kisiel,  E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell

TAC 2016

• CMU-ML System for KBP Cold Start Slot Filling

B Kisiel, B McDowell, M Gardner, N Nakashole, E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell

TAC 2015

• Vector-space semantics with frequency driven motifs

S Srivastava, E Hovy

ACL 2014

• Spatial Compactness meets Topical Consistency: Jointly modeling link and content for community detection

M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy

WSDM 2014

• A Walk-based Semantically Enriched Tree Kernel Over Distributed Word Representations

S Srivastava, D Hovy, E Hovy

EMNLP 2013 (short)

• A Structured Distributional Semantic Model for Event Co-reference

K Goyal*, S Jauhar*, H Li*, M Sachan*, S Srivastava*, E Hovy

ACL 2013 (short)

(* equally contributing)

• Identifying Metaphorical Word Use with Tree Kernels

D Hovy, S Srivastava, S Jauhar, M Sachan, K Goyal, H Li, E Hovy

NAACL-HLT Meta4NLP Workshop 2013

• A Structured Distributional Semantic Model : Integrating Structure with Semantics

K Goyal*, S Jauhar*,  H Li*, M Sachan*, S Srivastava*, E Hovy

Workshop on Continuous Vector Space Models and their Compositionality, ACL 2013

• A Topical graph-kernel for Link Prediction in Labeled Graphs

S Chaturvedi, H Daume III, T Moon, S Srivastava

ICML Workshop on Mining and Learning with Graphs (MLG) 2012

• Evolution of Compositional Languages in Multiple Agent Social Communities

S Srivastava

MTech Thesis, IIT Kanpur, Sep 2010