Shizhu He
- Papers
- 18
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Authored papers
18WideSeek: Advancing Wide Research via Multi-Agent Scaling
arXiv 2026
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
arXiv 2025
ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
arXiv 2026
DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
arXiv 2026
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space
arXiv 2026
A Comprehensive Survey on Long Context Language Modeling
arXiv 2025
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
arXiv 2025
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
arXiv 2025
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
arXiv 2025
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
arXiv 2025
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
arXiv 2024
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
arXiv 2024
$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
arXiv 2024
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
arXiv 2024
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
arXiv 2023
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
arXiv 2023
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
arXiv 2023
Large Language Models are Better Reasoners with Self-Verification
arXiv 2022
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