Shashank Srivastava

41 papers · 2013–2026 · 6 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🌍 Conference Polyglot (6)

🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (12) 🧬 Topic Evolution 🏆 Keyword Champion (8) 🔥 Unstoppable (9) ⚡ Prolific Year (6) ❓ The Questioner (5) 🗃️ Keyword Collector (185) 💎 Century Club (40) 📈 Trend Setter

Conferences

EMNLP (22) ACL (13) IJCNLP (2) NAACL (2) AAAI (1) IJCAI (1)

Top co-authors

Sayan Ghosh (12) Snigdha Chaturvedi (6) Tom Mitchell (6) Igor Labutov (5) Kerem Zaman (5) Rakesh R Menon (4) Rakesh R. Menon (3) Eduard Hovy (3) Rakesh Menon (3) Kangda Wei (2)

Research topics

Linguistics (1) Digital Humanities (1)

Keywords

large language model (9) natural language explanation (8) text classification (6) active learning (5) semantic parsing (4) zero-shot learning (3) reward function (3) curriculum learning (3) inverse reinforcement learning (3) language model (3) dialogue system (2) domain adaptation (2) transfer learning (2) faithful explanation (2) linguistic quantifier (2) interactive learning (2) reinforcement learning (2) model interpretability (2) few-shot learning (2) natural language understanding (2)

Papers

Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization ACL 2026 A Causal Lens for Evaluating Faithfulness Metrics EMNLP 2025 Explaining Differences Between Model Pairs in Natural Language through Sample Learning EMNLP 2025 Large Language Models Threaten Language’s Epistemic and Communicative Foundations EMNLP 2025 Chameleon LLMs: User Personas Influence Chatbot Personality Shifts EMNLP 2025 INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models ACL 2025 Classifying Unreliable Narrators with Large Language Models ACL 2025 DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers EMNLP 2024 Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 SocialGaze: Improving the Integration of Human Social Norms in Large Language Models EMNLP 2024 LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning ACL 2023 Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models EMNLP 2023 MaNtLE: Model-agnostic Natural Language Explainer EMNLP 2023 Manipulating the Perceived Personality Traits of Language Models EMNLP 2023 Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers EMNLP 2023 Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture EMNLP 2023 ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding ACL 2022 What do Large Language Models Learn beyond Language? EMNLP 2022 Predicting Difficulty and Discrimination of Natural Language Questions ACL 2022 Compositional Generalization for Kinship Prediction through Data Augmentation NAACL 2022 CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations ACL 2022 How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? IJCNLP 2021 How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Does Social Pressure Drive Persuasion in Online Fora? EMNLP 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 PRover: Proof Generation for Interpretable Reasoning over Rules EMNLP 2020 Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020 Learning to Ask for Conversational Machine Learning IJCNLP 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text ACL 2018 Zero-shot Learning of Classifiers from Natural Language Quantification ACL 2018 LIA: A Natural Language Programmable Personal Assistant EMNLP 2018 Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes NAACL 2018 Parsing Natural Language Conversations using Contextual Cues IJCAI 2017 Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017 Vector space semantics with frequency-driven motifs ACL 2014 A Structured Distributional Semantic Model for Event Co-reference ACL 2013 A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations EMNLP 2013