From Natural Language to Data Science
COMP 345; LING 345
(Winter 2025)
Siva Reddy
Teaching
Large Language Models
COMP 767; LING 782
(Fall 2024)
From Natural Language to Data Science
COMP 345; LING 345
(Winter 2024)
Natural Language Understanding with Deep Learning / Computational Semantics
COMP 545; LING 484/782
(Winter 2024)
Natural Language Understanding with Deep Learning / Computational Semantics
COMP 599; LING 484/782
(Fall 2022)
Natural Language Understanding with Deep Learning / Computational Semantics
COMP 599/764; LING 484/782
(Winter 2022)
From Natural Language to Data Science
COMP 596; LING 483/682
(Fall 2021)
Publications
Show years
2025
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
(2025)
DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning
(2025)
Exploiting Instruction-Following Retrievers for Malicious Information Retrieval
(2025)
SafeArena: Evaluating the Safety of Autonomous Web Agents
(2025)
Societal Alignment Frameworks Can Improve LLM Alignment
(2025)
MMTEB: Massive Multilingual Text Embedding Benchmark
arXiv.org
(2025)
Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation
arXiv.org
(2025)
Language Models Largely Exhibit Human-like Constituent Ordering Preferences
NAACL
(2025)
Not All Data Are Unlearned Equally
(2025)
How to Get Your LLM to Generate Challenging Problems for Evaluation
arXiv.org
(2025)
ReTreever: Tree-based Coarse-to-Fine Representations for Retrieval
arXiv.org
(2025)
2024
The BrowserGym Ecosystem for Web Agent Research
(2024)
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
arXiv
(2024)
Faithfulness Measurable Masked Language Models
ICML
(2024)
Benchmarking Vision Language Models for Cultural Understanding
EMNLP
(2024)
Are self-explanations from Large Language Models faithful?
ACL Findings
(2024)
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
NeurIPS
(2024)
Evaluating In-Context Learning of Libraries for Code Generation
NAACL
(2024)
Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
arXiv
(2024)
Scope Ambiguities in Large Language Models
TACL
(2024)
Interpretability Needs a New Paradigm
arXiv
(2024)
Universal Adversarial Triggers Are Not Universal
arXiv
(2024)
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
COLM
(2024)
Scope Ambiguities in Large Language Models
TACL
(2024)
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
ICML
(2024)
The BrowserGym Ecosystem for Web Agent Research
arXiv.org
(2024)
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
(2024)
A Compositional Typed Semantics for Universal Dependencies
arXiv.org
(2024)
When does word order matter and when doesn't it?
arXiv.org
(2024)
Are self-explanations from Large Language Models faithful?
ACL
(2024)
2023
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
EMNLP Findings
(2023)
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
EMNLP
(2023)
In-Context Learning for Text Classification with Many Labels
GenBench @ EMNLP
(2023)
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
TACL
(2023)
The Impact of Positional Encoding on Length Generalization in Transformers
NeurIPS
(2023)
Are Diffusion Models Vision-And-Language Reasoners?
NeurIPS
(2023)
Syntactic Substitutability as Unsupervised Dependency Syntax
EMNLP
(2023)
StarCoder: may the source be with you!
TMLR
(2023)
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
EMNLP Findings
(2023)
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
EACL
(2023)
Using In-Context Learning to Improve Dialogue Safety
EMNLP Findings
(2023)
Evaluating In-Context Learning of Libraries for Code Generation
arXiv.org
(2023)
Faithfulness Measurable Masked Language Models
International Conference on Machine Learning
(2023)
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Transactions of the Association for Computational Linguistics
(2023)
Combining Parameter-efficient Modules for Task-level Generalisation
EACL
(2023)
2022
The Curious Case of Absolute Position Embeddings
EMNLP Findings
(2022)
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
EMNLP Findings
(2022)
Post-hoc Interpretability for Neural NLP: A Survey
ACM Computing Surveys
(2022)
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
PAIS
(2022)
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
ACL
(2022)
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
ACL Findings
(2022)
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
ICML
(2022)
Does entity abstraction help generative Transformers reason?
Transactions of Machine Learning Research (TMLR)
(2022)
Syntactic Substitutability as Unsupervised Dependency Syntax
Conference on Empirical Methods in Natural Language Processing
(2022)
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
TACL
(2022)
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL
(2022)
Image Retrieval from Contextual Descriptions
ACL
(2022)
Combining Modular Skills in Multitask Learning
European Chapter of the Association for Computational Linguistics (EACL)
(2022)
Does entity abstraction help generative Transformers reason?
Transactions of Machine Learning Research (TMLR)
(2022)
2021
The Power of Prompt Tuning for Low-Resource Semantic Parsing
ACL
(2021)
Compositional Generalization in Dependency Parsing
ACL
(2021)
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
TACL
(2021)
Visually Grounded Reasoning across Languages and Cultures
EMNLP (Best Paper Award)
(2021)
Modelling Latent Translations for Cross-Lingual Transfer
arXiv
(2021)
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
NeurIPS
(2021)
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages
ACL Findings
(2021)
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL
(2021)
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
EMNLP
(2021)
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
AKBC
(2021)
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
EMNLP
(2021)
2020
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
ClinicalNLP @ EMNLP
(2020)
StereoSet: Measuring stereotypical bias in pretrained language models
ACL
(2020)
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
NAACL
(2020)
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
EMNLP Findings
(2020)
Measuring Systematic Generalization in Neural Proof Generation with Transformers
NeurIPS
(2020)
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions
ACL
(2020)
2018
Building a Neural Semantic Parser from a Domain Ontology
arXiv
(2018)
CoQA: A Conversational Question Answering Challenge
TACL
(2018)
Learning Typed Entailment Graphs with Global Soft Constraints
TACL
(2018)
2017
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
CoNLL
(2017)
Syntax-aware Neural Machine Translation Using CCG
arXiv
(2017)
Learning an Executable Neural Semantic Parser
Journal of Computational Linguistics
(2017)
Learning to Paraphrase for Question Answering
EMNLP
(2017)
Learning Structured Natural Language Representations for Semantic Parsing
ACL
(2017)
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
ACL
(2017)
Universal Dependencies to Logical Form with Negation Scope
SemBEaR @ NAACL
(2017)
Universal Semantic Parsing
EMNLP
(2017)
Predicting Target Language CCG Supertags Improves Neural Machine Translation
WMT
(2017)
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
CoNLL
(2017)
2016
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
EMNLP
(2016)
Question Answering on Freebase via Relation Extraction and Textual Evidence
ACL
(2016)
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
INLG
(2016)
Assessing Relative Sentence Complexity using an Incremental CCG Parser
NAACL
(2016)
Transforming Dependency Structures to Logical Forms for Semantic Parsing
TACL
(2016)
2014
Back to Top ↑2012
DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations
SemEval @ NAACL
(2012)
Word Sketches for Turkish
LREC
(2012)
2011
Dynamic and Static Prototype Vectors for Semantic Composition
IJCNLP
(2011)
An Empirical Study on Compositionality in Compound Nouns
IJCNLP
(2011)
2010
A Corpus Factory for Many Languages
LREC
(2010)