Zhihan Zhang
27 papers · 2019–2026 · 7 venues · across top CS/AI venues
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(18)
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Research topics
Artificial Intelligence
(21)
Core AI
(19)
Natural Language Processing
(17)
Machine Learning
(12)
Deep Learning
(10)
Applications
(9)
Learning Types Β· Machine Learning
(8)
Resources & Methods
(8)
Generation
(7)
Learning Types Β· Deep Learning
(7)
Knowledge & Reasoning
(3)
Core Methods
(3)
Application Areas
(2)
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(2)
Models
(2)
Keywords
large language model
(9)
question answering
(5)
text generation
(4)
language model
(4)
multimodal large language model
(3)
instruction following
(3)
prompt engineering
(2)
mathematical reasoning
(2)
knowledge retrieval
(2)
generative commonsense reasoning
(2)
knowledge graph
(2)
code generation
(2)
mixture of expert
(2)
complex instruction
(2)
benchmark evaluation
(2)
preference learning
(1)
natural language generation
(1)
temporal reasoning
(1)
multi-task learning
(1)
in-context learning
(1)
Papers
Aligned Multi-View Scripts for Universal Chart-to-Code Generation
ACL 2026
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
ACL 2026
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability
AAAI 2026
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
ICLR 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
NAACL 2025
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
ICLR 2025
XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning
ACL 2025
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
ACL 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
EMNLP 2024
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
ACL 2024
TOWER: Tree Organized Weighting for Evaluating Complex Instructions
EMNLP 2024
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
Large Language Models are Built-in Autoregressive Search Engines
ACL 2023
Pre-training Language Models for Comparative Reasoning
EMNLP 2023
A Unified Encoder-Decoder Framework with Entity Memory
EMNLP 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
NAACL 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
EMNLP 2022
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
ECCV 2020
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
ACL 2019