Jiechao Gao
17 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (51) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (8) 💎 Century Club · Bronze
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Keyword Collector
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The Questioner
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Prolific Year · Prolific
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Research topics
Artificial Intelligence
(15)
Core AI
(13)
Machine Learning
(11)
Learning Types · Machine Learning
(7)
Deep Learning
(6)
Application Areas
(5)
Natural Language Processing
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
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Applications
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Analysis
(2)
Clinical
(2)
Core Methods
(2)
Keywords
large language model
(6)
parameter-efficient fine-tuning
(2)
supervised fine-tuning
(2)
multimodal learning
(2)
contrastive learning
(2)
low-rank adaptation
(2)
causal reasoning
(1)
domain adaptation
(1)
model quantization
(1)
self-supervised learning
(1)
factual accuracy
(1)
in-context learning
(1)
information extraction
(1)
clinical text mining
(1)
optimal transport
(1)
semantic segmentation
(1)
confidence calibration
(1)
code generation
(1)
object tracking
(1)
visual question answering
(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
FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference
ACL 2026
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 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
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
Calibrating Video Watch-time Predictions with Credible Prototype Alignment
ICML 2025
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models
ACL 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
EMNLP 2025
LLMs on a Budget? Say HOLA
EMNLP 2025
SynFix: Dependency-Aware Program Repair via RelationGraph Analysis
ACL 2025
The Confidence Paradox: Can LLM Know When It’s Wrong?
IJCNLP 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation
ACL 2025
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline
CVPR 2025
Truth, Trust, and Trouble: Medical AI on the Edge
EMNLP 2025
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
NeurIPS 2022