Jinman Zhao
18 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (12)
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Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
🧬
Topic Evolution
🗃️
Keyword Collector
(86)
💎
Century Club
(16)
⚡
Prolific Year
(8)
Conferences
ACL (6)
EMNLP (3)
NAACL (3)
AAAI (2)
COLING (2)
NIPS (2)
Top co-authors
Keywords
large language model
(6)
parameter-efficient fine-tuning
(4)
code completion
(3)
model compression
(3)
code generation
(3)
program synthesis
(2)
parameter estimation
(2)
low-rank adaptation
(2)
neural network optimization
(2)
code language model
(2)
lambek categorial grammar
(2)
image synthesis
(1)
preference optimization
(1)
probabilistic grammar
(1)
efficient training
(1)
language modeling
(1)
hierarchical representation
(1)
combinatory categorial grammar
(1)
low-rank approximation
(1)
computational efficiency
(1)
Papers
Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models
AAAI 2026
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
ACL 2026
Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar
COLING 2025
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2025
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
ACL 2025
PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy
ACL 2025
Low-Rank Interconnected Adaptation across Layers
ACL 2025
Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning
EMNLP 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT
NAACL 2025
A Generative Model for Lambek Categorial Sequents
COLING 2024
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs
ACL 2024
LLM-supertagger: Categorial Grammar Supertagging via Large Language Models
EMNLP 2024
Large Language Models of Code Fail at Completing Code with Potential Bugs
NIPS 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 2023
Structural Realization with GGNNs
NAACL 2021
The Effect of Network Width on the Performance of Large-batch Training
NIPS 2018
Generalizing Word Embeddings using Bag of Subwords
EMNLP 2018