Xi Ye
24 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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(13)
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Research topics
Machine Learning
(18)
Natural Language Processing
(16)
Artificial Intelligence
(15)
Core AI
(13)
Applications
(10)
Learning Types Β· Machine Learning
(9)
Deep Learning
(8)
Resources & Methods
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(6)
Generation
(5)
Optimization & Theory
(5)
Core Methods
(3)
Models
(3)
Techniques
(3)
Keywords
large language model
(6)
prompt engineering
(5)
question answering
(4)
in-context learning
(4)
retrieval-augmented generation
(2)
text generation
(2)
textual reasoning
(2)
feature attribution
(2)
language model
(2)
automated reasoning
(2)
multimodal learning
(2)
chain-of-thought prompting
(2)
few-shot learning
(2)
domain adaptation
(2)
program synthesis
(2)
attention head
(2)
natural language inference
(1)
attention mechanism
(1)
natural language processing
(1)
constraint solving
(1)
Papers
Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision
ACL 2026
MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models
AAAI 2026
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version
IJCAI 2025
Inter-Passage Verification for Multi-evidence Multi-answer QA
ACL 2025
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
EMNLP 2025
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
ICLR 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Crafting In-context Examples according to LMsβ Parametric Knowledge
NAACL 2024
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
NAACL 2024
Explanation in the Era of Large Language Models
NAACL 2024
LoFiT: Localized Fine-tuning on LLM Representations
NeurIPS 2024
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
ICLR 2024
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
AAAI 2024
Assessing Out-of-Domain Language Model Performance from Few Examples
EACL 2023
Complementary Explanations for Effective In-Context Learning
ACL 2023
EEL: Efficiently Encoding Lattices for Reranking
ACL 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
EMNLP 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
NeurIPS 2023
Can Explanations Be Useful for Calibrating Black Box Models?
ACL 2022
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
ACL 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
NeurIPS 2022
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
EMNLP 2021
Optimal Neural Program Synthesis from Multimodal Specifications
EMNLP 2021
Benchmarking Multimodal Regex Synthesis with Complex Structures
ACL 2020