Dragomir Radev
- Papers
- 28
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Authored papers
28LEVER: Learning to Verify Language-to-Code Generation with Execution
arXiv 2023
QTSumm: Query-Focused Summarization over Tabular Data
arXiv 2023
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
arXiv 2023
On Learning to Summarize with Large Language Models as References
arXiv 2023
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
arXiv 2023
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark
arXiv 2023
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022 5
Crosslingual Generalization through Multitask Finetuning
arXiv 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
arXiv 2022
FOLIO: Natural Language Reasoning with First-Order Logic
arXiv 2022
RealTime QA: What's the Answer Right Now?
realtime-qa-what-s-the-answer-right-now
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
arXiv 2022
A Call for Clarity in Beam Search: How It Works and When It Stops
arXiv 2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
arXiv 2022
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
arXiv 2022
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples
arXiv 2022
Binding Language Models in Symbolic Languages
arXiv 2022
BRIO: Bringing Order to Abstractive Summarization
ACL 2022 5
SummerTime: Text Summarization Toolkit for Non-experts
EMNLP (ACL) 2021 11
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
NAACL 2021 4
BookSum: A Collection of Datasets for Long-form Narrative Summarization
arXiv 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Findings (ACL) 2021 8
SummEval: Re-evaluating Summarization Evaluation
arXiv 2020
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
arXiv 2020
SParC: Cross-Domain Semantic Parsing in Context
sparc-cross-domain-semantic-parsing-in-1
Improving Text-to-SQL Evaluation Methodology
improving-text-to-sql-evaluation-methodology-1
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
spider-a-large-scale-human-labeled-dataset-1
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
arXiv 2018
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