Xiaokang Zhang
13 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Renaissance Researcher (8) π Conference Polyglot (4) π Cross-Pollinator (8) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(66)
β‘
Prolific Year
(6)
π
Century Club
(12)
Conferences
ACL (10)
AAAI (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(6)
transfer learning
(3)
chain-of-thought reasoning
(3)
question answering
(2)
code generation
(2)
language model
(2)
knowledge base
(2)
knowledge extraction
(1)
text-to-sql
(1)
zero-shot learning
(1)
entity linking
(1)
reward modeling
(1)
weakly supervised learning
(1)
model pruning
(1)
expert finding
(1)
direct preference optimization
(1)
document analysis
(1)
knowledge graph
(1)
reward hacking
(1)
benchmark evaluation
(1)
Papers
Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
ACL 2026
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
ACL 2025
P2 Law: Scaling Law for Post-Training After Model Pruning
ACL 2025
Dynamic Scaling of Unit Tests for Code Reward Modeling
ACL 2025
SAM Decoding: Speculative Decoding via Suffix Automaton
ACL 2025
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL
ACL 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
ICML 2024
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
ACL 2024
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
NIPS 2024
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
ACL 2022
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese
ACL 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
AAAI 2022