Yuchen Yan
24 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
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Conferences
AAAI (5)
ACL (4)
EMNLP (4)
ICML (3)
NIPS (3)
COLING (2)
EACL (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Keywords
large language model
(5)
mathematical reasoning
(3)
in-context learning
(2)
graph encoder
(2)
reinforcement learning
(2)
question answering
(2)
graph convolutional network
(2)
graph signal processing
(2)
logical reasoning
(2)
node classification
(2)
graph neural network
(2)
knowledge graph
(2)
variational inference
(1)
graph representation learning
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
knowledge base
(1)
benchmark evaluation
(1)
program synthesis
(1)
inductive reasoning
(1)
Papers
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
ACL 2026
Harnessing Consistency for Robust Test-Time LLM Ensemble
EACL 2026
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
ACL 2026
Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
AAAI 2026
MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network
AAAI 2026
Do Large Language Models excel in Complex Logical Reasoning with Formal Language?
EMNLP 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
AAAI 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
ACL 2025
GenWebNovel: A Genre-oriented Corpus of Entities in Chinese Web Novels
COLING 2025
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
COLING 2025
AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
EMNLP 2025
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
EMNLP 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
ICML 2025
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
EMNLP 2024
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
ICML 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
Graph Mixup on Approximate GromovβWasserstein Geodesics
ICML 2024
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
NIPS 2024
Reconciling Competing Sampling Strategies of Network Embedding
NIPS 2023
From Trainable Negative Depth to Edge Heterophily in Graphs
NIPS 2023
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
ACL 2023
A study of production error analysis for Mandarin-speaking Children with Hearing Impairment
INTERSPEECH 2022
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
ICLR 2022
Dynamic Knowledge Graph Alignment
AAAI 2021