Siva Reddy

Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 MMTEB: Massive Multilingual Text Embedding Benchmark ICLR 2025 WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation EMNLP 2025 REARANK: Reasoning Re-ranking Agent via Reinforcement Learning EMNLP 2025 SafeArena: Evaluating the Safety of Autonomous Web Agents ICML 2025 Understanding the Influence of Synthetic Data for Text Embedders ACL 2025 Exploiting Instruction-Following Retrievers for Malicious Information Retrieval ACL 2025 VinePPO: Refining Credit Assignment in RL Training of LLMs ICML 2025 Language Models Largely Exhibit Human-like Constituent Ordering Preferences NAACL 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks ICLR 2025 WebLINX: Real-World Website Navigation with Multi-Turn Dialogue ICML 2024 Faithfulness Measurable Masked Language Models ICML 2024 Benchmarking Vision Language Models for Cultural Understanding EMNLP 2024 Learning Action and Reasoning-Centric Image Editing from Videos and Simulation NIPS 2024 Are self-explanations from Large Language Models faithful? ACL 2024 Evaluating In-Context Learning of Libraries for Code Generation NAACL 2024 In-Context Learning for Text Classification with Many Labels EMNLP 2023 Combining Parameter-efficient Modules for Task-level Generalisation EACL 2023 The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents EACL 2023 Are Diffusion Models Vision-And-Language Reasoners? NIPS 2023 The Impact of Positional Encoding on Length Generalization in Transformers NIPS 2023 MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations EMNLP 2023 Syntactic Substitutability as Unsupervised Dependency Syntax EMNLP 2023 Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness EMNLP 2023 Using In-Context Learning to Improve Dialogue Safety EMNLP 2023 Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023 Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment ACL 2022 The Power of Prompt Tuning for Low-Resource Semantic Parsing ACL 2022 Compositional Generalization in Dependency Parsing ACL 2022 Image Retrieval from Contextual Descriptions ACL 2022 Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining EMNLP 2022 The Curious Case of Absolute Position Embeddings EMNLP 2022 IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ICML 2022 On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL 2022 An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models ACL 2022 Minimax and Neyman–Pearson Meta-Learning for Outlier Languages IJCNLP 2021 StereoSet: Measuring stereotypical bias in pretrained language models IJCNLP 2021 Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions EMNLP 2021 Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval EMNLP 2021 Visually Grounded Reasoning across Languages and Cultures EMNLP 2021 Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ACL 2021 StereoSet: Measuring stereotypical bias in pretrained language models ACL 2021 Understanding by Understanding Not: Modeling Negation in Language Models NAACL 2021 End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering NIPS 2021 Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle NAACL 2021 Measuring Systematic Generalization in Neural Proof Generation with Transformers NIPS 2020 Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions ACL 2020 Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback EMNLP 2020 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining EMNLP 2020 Learning to Paraphrase for Question Answering EMNLP 2017 Universal Semantic Parsing EMNLP 2017 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CONLL 2017 Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ACL 2017 Learning Structured Natural Language Representations for Semantic Parsing ACL 2017 Assessing Relative Sentence Complexity using an Incremental CCG Parser NAACL 2016 Question Answering on Freebase via Relation Extraction and Textual Evidence ACL 2016 Evaluating Induced CCG Parsers on Grounded Semantic Parsing EMNLP 2016 DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations SEMEVAL 2012 An Empirical Study on Compositionality in Compound Nouns IJCNLP 2011 Dynamic and Static Prototype Vectors for Semantic Composition IJCNLP 2011 WSD as a Distributed Constraint Optimization Problem ACL 2010 IIITH: Domain Specific Word Sense Disambiguation SEMEVAL 2010