Xi Ye
24 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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(13)
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(6)
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(22)
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The Questioner
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Conferences
ACL (7)
EMNLP (4)
AAAI (3)
NAACL (3)
NIPS (3)
ICLR (2)
EACL (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(5)
in-context learning
(4)
question answering
(4)
prompt engineering
(4)
textual reasoning
(2)
text generation
(2)
domain adaptation
(2)
automated reasoning
(2)
attention head
(2)
language model
(2)
program synthesis
(2)
few-shot learning
(2)
multimodal learning
(2)
feature attribution
(2)
retrieval-augmented generation
(2)
natural language inference
(1)
natural language processing
(1)
attention mechanism
(1)
constraint solving
(1)
image restoration
(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
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 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
LoFiT: Localized Fine-tuning on LLM Representations
NIPS 2024
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
ICLR 2024
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
NAACL 2024
Crafting In-context Examples according to LMs’ Parametric Knowledge
NAACL 2024
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
AAAI 2024
Explanation in the Era of Large Language Models
NAACL 2024
EEL: Efficiently Encoding Lattices for Reranking
ACL 2023
Complementary Explanations for Effective In-Context Learning
ACL 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
EMNLP 2023
Assessing Out-of-Domain Language Model Performance from Few Examples
EACL 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
NIPS 2023
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
NIPS 2022
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
ACL 2022
Can Explanations Be Useful for Calibrating Black Box Models?
ACL 2022
Optimal Neural Program Synthesis from Multimodal Specifications
EMNLP 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
EMNLP 2021
Benchmarking Multimodal Regex Synthesis with Complex Structures
ACL 2020