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Jiechao Gao

18 papers · 2022–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+5 more ↓ 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (47) 🧭 Keyword Pioneer
🌍 Conference Polyglot (7) ⚑ Prolific Year (11) πŸ’Ž Century Club (12) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (97)

Conferences

ACL (5) EMNLP (4) AAAI (2) EACL (2) AACL (1) CVPR (1) ICML (1) IJCNLP (1) NIPS (1)

Papers

Are Large Language Models Economically Viable for Industry Deployment? ACL 2026 Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning? EACL 2026 Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes EACL 2026 S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation AAAI 2026 Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference ACL 2026 FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025 Truth, Trust, and Trouble: Medical AI on the Edge EMNLP 2025 LLMs on a Budget? Say HOLA EMNLP 2025 Calibrating Video Watch-time Predictions with Credible Prototype Alignment ICML 2025 The Confidence Paradox: Can LLM Know When It’s Wrong? IJCNLP 2025 AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System EMNLP 2025 The Confidence Paradox: Can LLM Know When It’s Wrong? AACL 2025 DRUM: Learning Demonstration Retriever for Large MUlti-modal Models ACL 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 SynFix: Dependency-Aware Program Repair via RelationGraph Analysis ACL 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline CVPR 2025 FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning NIPS 2022