Zhuoshi Pan
12 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Keyword Collector
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Research topics
Artificial Intelligence
(10)
Core AI
(9)
Machine Learning
(6)
Application Areas
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Natural Language Processing
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Generation · Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Models
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Resources & Methods
(2)
Security & Privacy
(1)
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Generation · Computer Vision
(1)
Keywords
large language model
(3)
mathematical reasoning
(3)
prompt compression
(2)
chain-of-thought reasoning
(2)
attention mechanism
(1)
diffusion model
(1)
model security
(1)
inference optimization
(1)
efficient computing
(1)
token classification
(1)
memory retrieval
(1)
adversarial attack
(1)
efficient inference
(1)
language model
(1)
data selection
(1)
synthetic data
(1)
vision-language model
(1)
supervised fine-tuning
(1)
token selection
(1)
data poisoning
(1)
Papers
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
ACL 2026
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
ACL 2026
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
ACL 2026
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior
ACL 2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
ACL 2025
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
ACL 2025
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
EMNLP 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
EMNLP 2025
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
ICLR 2025
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
EMNLP 2025
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NeurIPS 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
ACL 2024