Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Investigating Data Contamination in Modern Benchmarks for Large Language Models.

[BibT_eX]

[DOI]

Chunyuan Deng

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OctoPack: Instruction Tuning Code Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

[BibT_eX]

[DOI]

CoRR, 2023

BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge.

[BibT_eX]

[DOI]

CoRR, 2023

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers.

[BibT_eX]

[DOI]

CoRR, 2023

QTSumm: A New Benchmark for Query-Focused Table Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

[BibT_eX]

[DOI]

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

QTSumm: Query-Focused Summarization over Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Crosslingual Generalization through Multitask Finetuning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning.

[BibT_eX]

[DOI]

Xiangru Tang

Arman Cohan

Mark Gerstein

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

FeTaQA: Free-form Table Question Answering.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2022

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts.

[BibT_eX]

[DOI]

CoRR, 2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

[BibT_eX]

[DOI]

CoRR, 2022

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Surfer100: Generating Surveys From Web Resources, Wikipedia-style.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources.

[BibT_eX]

[DOI]

CoRR, 2021

Improving RNA Secondary Structure Design using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Alexander Whatley

Zhekun Luo

Xiangru Tang

CoRR, 2021

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types.

[BibT_eX]

[DOI]

CoRR, 2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

[BibT_eX]

[DOI]

CoRR, 2021

FeTaQA: Free-form Table Question Answering.

[BibT_eX]

[DOI]

CoRR, 2021

DART: Open-Domain Structured Data Record to Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching.

[BibT_eX]

[DOI]

Xiangru Tang

Alan Aw

CoRR, 2020

Multi-Granularity Modularized Network for Abstract Visual Reasoning.

[BibT_eX]

[DOI]

CoRR, 2020

DART: Open-Domain Structured Data Record to Text Generation.

[BibT_eX]

[DOI]

CoRR, 2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning.

[BibT_eX]

[DOI]

CoRR, 2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning.

[BibT_eX]

[DOI]

Gabriel Pui Cheong Fung

Kam-Fai Wong

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explanation Tool.

[BibT_eX]

[DOI]

Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

2019

Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation.

[BibT_eX]

[DOI]

Xiangru Tang

Po Hu

Proceedings of the Knowledge Science, Engineering and Management, 2019

Xiangru Tang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...