Xi Ye

Orcid: 0000-0003-0331-7946

Affiliations:
  • University of Alberta, Canada
  • Princeton University: Princeton, NJ, USA
  • University of Texas at Austin, Austin, TX, USA (Ph.D.)


According to our database1, Xi Ye authored at least 37 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks.
CoRR, April, 2026

DySCO: Dynamic Attention-Scaling Decoding for Long-Context LMs.
CoRR, February, 2026

2025
Language Models that Think, Chat Better.
CoRR, September, 2025

Learning to Reason Across Parallel Samples for LLM Reasoning.
CoRR, June, 2025

Inter-Passage Verification for Multi-evidence Multi-answer QA.
CoRR, June, 2025

Learning Composable Chains-of-Thought.
CoRR, May, 2025

LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation.
CoRR, January, 2025

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Inter-Passage Verification for Multi-evidence Multi-answer QA.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates.
CoRR, 2024

AmbigDocs: Reasoning across Documents on Different Entities under the Same Name.
CoRR, 2024

LoFiT: Localized Fine-tuning on LLM Representations.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Crafting In-context Examples according to LMs' Parametric Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Effective Large Language Model Adaptation for Improved Grounding.
CoRR, 2023

Satisfiability-Aided Language Models Using Declarative Prompting.
CoRR, 2023

Explanation Selection Using Unlabeled Data for In-Context Learning.
CoRR, 2023

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Assessing Out-of-Domain Language Model Performance from Few Examples.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Complementary Explanations for Effective In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

EEL: Efficiently Encoding Lattices for Reranking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Diagnosing Ensemble Few-Shot Classifiers.
IEEE Trans. Vis. Comput. Graph., 2022

The Unreliability of Explanations in Few-Shot In-Context Learning.
CoRR, 2022

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Explanations Be Useful for Calibrating Black Box Models?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
CoRR, 2021

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Optimal Neural Program Synthesis from Multimodal Specifications.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Sketch-Driven Regular Expression Generation from Natural Language and Examples.
Trans. Assoc. Comput. Linguistics, 2020

Multi-modal synthesis of regular expressions.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

Benchmarking Multimodal Regex Synthesis with Complex Structures.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Interactive Correction of Mislabeled Training Data.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019


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