YUQI ZHU
11 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(14)
π₯
Mega-Team
(20)
β
The Questioner
(2)
π₯
Unstoppable
(5)
Conferences
ACL (5)
AAAI (2)
NIPS (2)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(5)
code generation
(3)
context window
(2)
software engineering
(2)
decoding strategy
(1)
memory optimization
(1)
temporal reasoning
(1)
pre-trained language model
(1)
efficient inference
(1)
parameter efficiency
(1)
inference efficiency
(1)
retrieval-augmented generation
(1)
multi-hop question answering
(1)
conversational agent
(1)
hierarchical memory
(1)
evaluation benchmark
(1)
long context
(1)
data analysis
(1)
trajectory planning
(1)
knowledge distillation
(1)
Papers
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
AAAI 2026
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
ACL 2026
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
ACL 2026
Benchmarking Long-Context Language Models on Long Code Understanding
ACL 2025
LightThinker: Thinking Step-by-Step Compression
EMNLP 2025
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
NAACL 2025
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
AAAI 2024
Agent Planning with World Knowledge Model
NIPS 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
ACL 2024
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
ACL 2023
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NIPS 2022