Multi-Resolution Language Grounding with Weak Supervision. - Rik Koncel-Kedziorski; Hannaneh Hajishirzi; Ali Farhadi (EMNLP, 2014)

Parsing Algebraic Word Problems into Equations. - Rik Koncel-Kedziorski; Hannaneh Hajishirzi; Ashish Sabharwal; Oren Etzioni; Siena Dumas Ang (Trans. Assoc. Comput. Linguistics, 2015)

We Who Tweet: Pronominal Relative Clauses on Twitter. - Kirby Conrod; Rachael Tatman; Rik Koncel-Kedziorski (CLiF, 2016)

A Theme-Rewriting Approach for Generating Algebra Word Problems. - Rik Koncel-Kedziorski; Ioannis Konstas; Luke Zettlemoyer; Hannaneh Hajishirzi (EMNLP, 2016)

Phonological Pun-derstanding. - Aaron Jaech; Rik Koncel-Kedziorski; Mari Ostendorf (HLT-NAACL, 2016)

MAWPS: A Math Word Problem Repository. - Rik Koncel-Kedziorski; Subhro Roy; Aida Amini; Nate Kushman; Hannaneh Hajishirzi (HLT-NAACL, 2016)

Pyramidal Recurrent Unit for Language Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (EMNLP, 2018)

Data-Driven Methods for Solving Algebra Word Problems. - Benjamin Robaidek; Rik Koncel-Kedziorski; Hannaneh Hajishirzi (CoRR, 2018)

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. - Aida Amini; Saadia Gabriel; Shanchuan Lin; Rik Koncel-Kedziorski; Yejin Choi 001; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

Text Generation from Knowledge Graphs with Graph Transformers. - Rik Koncel-Kedziorski; Dhanush Bekal; Yi Luan; Mirella Lapata; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

SemEval-2019 Task 10: Math Question Answering. - Mark Hopkins; Ronan Le Bras 001; Cristian Petrescu-Prahova; Gabriel Stanovsky; Hannaneh Hajishirzi; Rik Koncel-Kedziorski (SemEval@NAACL-HLT, 2019)

DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (CoRR, 2019)

DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (ICLR, 2020)

Citation Text Generation. - Kelvin Luu; Rik Koncel-Kedziorski; Kyle Lo; Isabel Cachola; Noah A. Smith (CoRR, 2020)

Extracting Summary Knowledge Graphs from Long Documents. - Zeqiu Wu; Rik Koncel-Kedziorski; Mari Ostendorf; Hannaneh Hajishirzi (CoRR, 2020)

A Controllable Model of Grounded Response Generation. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Xiang Gao 011; Chris Quirk; Rik Koncel-Kedziorski; Jianfeng Gao 001; Hannaneh Hajishirzi; Mari Ostendorf; Bill Dolan (AAAI, 2021)

Explaining Relationships Between Scientific Documents. - Kelvin Luu; Xinyi Wu; Rik Koncel-Kedziorski; Kyle Lo; Isabel Cachola; Noah A. Smith (ACL/IJCNLP (1), 2021)

Go Forth and Prosper: Language Modeling with Ancient Textual History. - Rik Koncel-Kedziorski; Noah A. Smith (CoRR, 2021)

Scarecrow: A Framework for Scrutinizing Machine Text. - Yao Dou; Maxwell Forbes; Rik Koncel-Kedziorski; Noah A. Smith; Yejin Choi 001 (CoRR, 2021)

Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering. - Benjamin Muller; Luca Soldaini; Rik Koncel-Kedziorski; Eric Lind; Alessandro Moschitti (CoRR, 2021)

Extracting and Inferring Personal Attributes from Dialogue. - Zhilin Wang; Xuhui Zhou; Rik Koncel-Kedziorski; Alex Marin; Fei Xia (ConvAI@ACL, 2022)

Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. - Yao Dou; Maxwell Forbes; Rik Koncel-Kedziorski; Noah A. Smith; Yejin Choi 001 (ACL (1), 2022)

Knowledge Transfer from Answer Ranking to Answer Generation. - Matteo Gabburo; Rik Koncel-Kedziorski; Siddhant Garg; Luca Soldaini; Alessandro Moschitti (EMNLP, 2022)

Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation. - Benjamin Muller; Luca Soldaini; Rik Koncel-Kedziorski; Eric Lind; Alessandro Moschitti (AACL/IJCNLP (1), 2022)

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. - Matteo Gabburo; Siddhant Garg; Rik Koncel-Kedziorski; Alessandro Moschitti (ACL (1), 2023)

SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. - Matteo Gabburo; Siddhant Garg; Rik Koncel-Kedziorski; Alessandro Moschitti (IJCNLP (2), 2023)

BizBench: A Quantitative Reasoning Benchmark for Business and Finance. - Michael Krumdick; Rik Koncel-Kedziorski; Viet Dac Lai; Varshini Reddy; Charles Lovering; Chris Tanner (ACL (1), 2024)

DocFinQA: A Long-Context Financial Reasoning Dataset. - Varshini Reddy; Rik Koncel-Kedziorski; Viet Dac Lai; Michael Krumdick; Charles Lovering; Chris Tanner (ACL (Short Papers), 2024)

DocFinQA: A Long-Context Financial Reasoning Dataset. - Varshini Reddy; Rik Koncel-Kedziorski; Viet Dac Lai; Chris Tanner (CoRR, 2024)

Are Language Model Logits Calibrated? - Charles Lovering; Michael Krumdick; Viet Dac Lai; Nilesh Kumar; Varshini Reddy; Rik Koncel-Kedziorski; Chris Tanner (CoRR, 2024)

Language Model Probabilities are Not Calibrated in Numeric Contexts. - Charles Lovering; Michael Krumdick; Viet Dac Lai; Varshini Reddy; Seth Ebner; Nilesh Kumar; Rik Koncel-Kedziorski; Chris Tanner (ACL (1), 2025)

Improving LLM Personas via Rationalization with Psychological Scaffolds. - Brihi Joshi; Xiang Ren 001; Swabha Swayamdipta; Rik Koncel-Kedziorski; Tim Paek (CoRR, 2025)