Jiaxi Yang
18 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(52)
π£
Hot Topic Early Bird
π₯
Mega-Team
(24)
π
Grand Slam
ποΈ
Keyword Collector
(96)
β‘
Prolific Year
(9)
π
Trend Setter
π
Century Club
(17)
π₯
Unstoppable
(5)
β
The Questioner
(2)
Conferences
ACL (6)
AAAI (4)
EMNLP (3)
CVPR (1)
ICLR (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(8)
instruction tuning
(5)
benchmark evaluation
(4)
code generation
(2)
synthetic datum
(2)
code completion
(2)
attention mechanism
(2)
language model
(2)
multi-task learning
(1)
computer vision
(1)
reinforcement learning
(1)
cognitive modeling
(1)
domain adaptation
(1)
preference learning
(1)
transfer learning
(1)
image segmentation
(1)
question answering
(1)
in-context learning
(1)
semantic parsing
(1)
domain generalization
(1)
Papers
From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
ACL 2026
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
AAAI 2025
Fine-Tuning Language Models with Collaborative and Semantic Experts
AAAI 2025
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
AAAI 2025
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
ACL 2025
CodeArena: Evaluating and Aligning CodeLLMs on Human Preference
EMNLP 2025
START: Self-taught Reasoner with Tools
EMNLP 2025
Turning the Tide: Repository-based Code Reflection
EMNLP 2025
GMValuator: Similarity-based Data Valuation for Generative Models
ICLR 2025
Synthesizing Software Engineering Data in a Test-Driven Manner
ICML 2025
Marathon: A Race Through the Realm of Long Context with Large Language Models
ACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Synthesizing Text-to-SQL Data from Weak and Strong LLMs
ACL 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models
ACL 2024
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NIPS 2023
Glass Segmentation Using Intensity and Spectral Polarization Cues
CVPR 2022
Differentially Private Correlation Alignment for Domain Adaptation
IJCAI 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021