Somak Aditya

According to our database1, Somak Aditya authored at least 38 papers between 2015 and 2024.

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Bibliography

2024
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI.
Lang. Resour. Evaluation, June, 2024

[WIP] Jailbreak Paradox: The Achilles' Heel of LLMs.
CoRR, 2024

GRAFFORD: A Benchmark Dataset for Testing the Knowledge of Object Affordances of Language and Vision Models.
CoRR, 2024

Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations.
CoRR, 2024

MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.
CoRR, 2023

Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks.
CoRR, 2023

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation.
CoRR, 2023

SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Prover: Generating Intermediate Steps for NLI with Commonsense Knowledge Retrieval and Next-Step Prediction.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

A Robust Information-Masking Approach for Domain Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Generating Intermediate Steps for NLI with Next-Step Supervision.
CoRR, 2022

Multilingual CheckList: Generation and Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Vector Space Interpolation for Query Expansion.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance.
CoRR, 2021

Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task.
CoRR, 2021

Analyzing the Nuances of Transformers' Polynomial Simplification Abilities.
CoRR, 2021

First Workshop on Knowledge Injection in Neural Networks (KINN).
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
TaxiNLI: Taking a Ride up the NLU Hill.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Exploratory Navigation and Selective Reading.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Uncovering Relations for Marketing Knowledge Representation.
CoRR, 2019

Spatial Knowledge Distillation to Aid Visual Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Integrating Knowledge and Reasoning in Image Understanding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Knowledge and Reasoning for Image Understanding.
PhD thesis, 2018

Image Understanding using vision and reasoning through Scene Description Graph.
Comput. Vis. Image Underst., 2018

Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Explainable Image Understanding Using Vision and Reasoning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic.
CoRR, 2016

2015
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge.
CoRR, 2015

Recognizing Social Constructs from Textual Conversation.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Identifying Various Kinds of Event Mentions in K-Parser Output.
Proceedings of the The 3rd Workshop on EVENTS: Definition, 2015

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning.
Proceedings of the 2015 AAAI Spring Symposia, 2015


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