Bhavana Dalvi

Affiliations:
  • AI2, Allen Institute for Artificial Intelligence, Seattle, US
  • Carnegie Mellon University, USA (PhD 2015)


According to our database1, Bhavana Dalvi authored at least 48 papers between 2008 and 2024.

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Bibliography

2024
IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback.
CoRR, 2024

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.
CoRR, 2024

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
CoRR, 2024

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability.
CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR, 2023

Do language models have coherent mental models of everyday things?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE.
CoRR, 2022

Towards Teachable Reasoning Systems.
CoRR, 2022

DREAM: Improving Situational QA by First Elaborating the Situation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
DREAM: Uncovering Mental Models behind Language Models.
CoRR, 2021

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.
CoRR, 2021

Explaining Answers with Entailment Trees.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
AI Mag., 2020

A Dataset for Tracking Entities in Open Domain Procedural Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What-if I ask you to explain: Explaining the effects of perturbations in procedural text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Procedural Reading Comprehension with Attribute-Aware Context Flow.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

WIQA: A dataset for "What if..." reasoning over procedural text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Pretrained Language Models for Sequential Sentence Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text.
CoRR, 2018

Never-ending learning.
Commun. ACM, 2018

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Domain-Targeted, High Precision Knowledge Extraction.
Trans. Assoc. Comput. Linguistics, 2017

2016
Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

WOSPF: A Traffic Engineering Solution for OSPF Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

IKE - An Interactive Tool for Knowledge Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015
Constrained Semi-supervised Learning in the Presence of Unanticipated Classes.
SIGIR Forum, 2015

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Integrating Energy Storage in Electricity Distribution Networks.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015


2014
A language modeling approach to entity recognition and disambiguation for search queries.
Proceedings of the ERD'14, 2014

2013
Very Fast Similarity Queries on Semi-Structured Data from the Web.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Exploratory Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Classifying entities into an incomplete ontology.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2012
WebSets: extracting sets of entities from the web using unsupervised information extraction.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Collectively Representing Semi-Structured Data from the Web.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

2010
Entity List Completion Using Set Expansion Techniques.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Structure, tie persistence and event detection in large phone and SMS networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

2008
Keyword search on external memory data graphs.
Proc. VLDB Endow., 2008


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