Varun Manjunatha

Orcid: 0000-0001-6882-7846

According to our database1, Varun Manjunatha authored at least 43 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents.
CoRR, March, 2026

InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.
CoRR, March, 2026

Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

From Conversation to Human-AI Common Ground: Extracting Cognitive Workflows for Reuse in Sense-making Tasks.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models.
CoRR, October, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
CoRR, July, 2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.
CoRR, February, 2025

On Mechanistic Circuits for Extractive Question-Answering.
CoRR, February, 2025

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025


2024
On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
CoRR, 2024

FABLES: Evaluating faithfulness and content selection in book-length summarization.
CoRR, 2024

FlexDoc: Flexible Document Adaptation through Optimizing both Content and Layout.
Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Localizing and Editing Knowledge In Text-to-Image Generative Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DocPilot: Copilot for Automating PDF Edit Workflows in Documents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2023
kNN-LM Does Not Improve Open-ended Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Cross-Domain Detection with Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Development and Evaluation of a Tool for Assisting Content Creators in Making PDF Files More Accessible.
ACM Trans. Access. Comput., 2022

Certified Neural Network Watermarks with Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022

Influence Functions for Sequence Tagging Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Keyphrase Prediction from Video Transcripts: New Dataset and Directions.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks.
CoRR, 2021

Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

TABBIE: Pretrained Representations of Tabular Data.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IGA: An Intent-Guided Authoring Assistant.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Black-Box Explanation of Object Detectors via Saliency Maps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SelfDoc: Self-Supervised Document Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Syntopical Graphs for Computational Argumentation Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Generative-Discriminative Feature Representations for Open-Set Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cross-Domain Document Object Detection: Benchmark Suite and Method.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Joint Model for Document Segmentation and Segment Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Explicit Bias Discovery in Visual Question Answering Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Vision and Natural Language for Creative Applications, and their Analysis.
PhD thesis, 2018

Class Subset Selection for Transfer Learning using Submodularity.
CoRR, 2018

Learning to Color from Language.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
MetroViz: Visual Analysis of Public Transportation Data.
CoRR, 2015

SHOE: Supervised Hashing with Output Embeddings.
CoRR, 2015

SHOE: Sibling Hashing with Output Embeddings.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


  Loading...