conftrace_

Yuchen Yan

24 papers · 2021–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5)
πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (99) ⚑ Prolific Year (5) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

AAAI (5) ACL (4) EMNLP (4) ICML (3) NIPS (3) COLING (2) EACL (1) ICLR (1) INTERSPEECH (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 Gromov–Wasserstein 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