Siva Reddy

According to our database1, Siva Reddy authored at least 76 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue.
CoRR, 2024

Are self-explanations from Large Language Models faithful?
CoRR, 2024

2023
Post-hoc Interpretability for Neural NLP: A Survey.
ACM Comput. Surv., 2023

Evaluating In-Context Learning of Libraries for Code Generation.
CoRR, 2023

Faithfulness Measurable Masked Language Models.
CoRR, 2023

In-Context Learning for Text Classification with Many Labels.
CoRR, 2023

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering.
CoRR, 2023

StarCoder: may the source be with you!
CoRR, 2023

Are Diffusion Models Vision-And-Language Reasoners?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Impact of Positional Encoding on Length Generalization in Transformers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Using In-Context Learning to Improve Dialogue Safety.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Syntactic Substitutability as Unsupervised Dependency Syntax.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Combining Parameter-efficient Modules for Task-level Generalisation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Does Entity Abstraction Help Generative Transformers Reason?
Trans. Mach. Learn. Res., 2022

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue.
Trans. Assoc. Comput. Linguistics, 2022

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching.
Trans. Assoc. Comput. Linguistics, 2022

Combining Modular Skills in Multitask Learning.
CoRR, 2022

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages.
Proceedings of the International Conference on Machine Learning, 2022

The Curious Case of Absolute Position Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems.
Proceedings of the PAIS 2022, 2022

The Power of Prompt Tuning for Low-Resource Semantic Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Image Retrieval from Contextual Descriptions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Compositional Generalization in Dependency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching.
CoRR, 2021

Modelling Latent Translations for Cross-Lingual Transfer.
CoRR, 2021

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Understanding by Understanding Not: Modeling Negation in Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Visually Grounded Reasoning across Languages and Cultures.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Minimax and Neyman-Pearson Meta-Learning for Outlier Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

StereoSet: Measuring stereotypical bias in pretrained language models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Explicitly Modeling Syntax in Language Model improves Generalization.
CoRR, 2020

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback.
CoRR, 2020

Measuring Systematic Generalization in Neural Proof Generation with Transformers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

You could have said that instead: Improving Chatbots with Natural Language Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
CoQA: A Conversational Question Answering Challenge.
Trans. Assoc. Comput. Linguistics, 2019

Learning an Executable Neural Semantic Parser.
Comput. Linguistics, 2019

2018
Learning Typed Entailment Graphs with Global Soft Constraints.
Trans. Assoc. Comput. Linguistics, 2018

Building a Neural Semantic Parser from a Domain Ontology.
CoRR, 2018

2017
Syntax-aware Neural Machine Translation Using CCG.
CoRR, 2017

Universal Dependencies to Logical Forms with Negation Scope.
CoRR, 2017

Predicting Target Language CCG Supertags Improves Neural Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017

Universal Semantic Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning to Paraphrase for Question Answering.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning Structured Natural Language Representations for Semantic Parsing.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Transforming Dependency Structures to Logical Forms for Semantic Parsing.
Trans. Assoc. Comput. Linguistics, 2016

Enhancing Freebase Question Answering Using Textual Evidence.
CoRR, 2016

Assessing Relative Sentence Complexity using an Incremental CCG Parser.
Proceedings of the NAACL HLT 2016, 2016

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing.
Proceedings of the INLG 2016, 2016

Evaluating Induced CCG Parsers on Grounded Semantic Parsing.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Question Answering on Freebase via Relation Extraction and Textual Evidence.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014
Large-scale Semantic Parsing without Question-Answer Pairs.
Trans. Assoc. Comput. Linguistics, 2014

Hindi Word Sketches.
Proceedings of the 11th International Conference on Natural Language Processing, 2014

2012
DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations.
Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

Word Sketches for Turkish.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2011
An Empirical Study on Compositionality in Compound Nouns.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Dynamic and Static Prototype Vectors for Semantic Composition.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

2010
IIITH: Domain Specific Word Sense Disambiguation.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

A Corpus Factory for Many Languages.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

WSD as a Distributed Constraint Optimization Problem.
Proceedings of the ACL 2010, 2010

2009
All Words Unsupervised Semantic Category Labeling for Hindi.
Proceedings of the Recent Advances in Natural Language Processing, 2009


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