Jiechao Gao
18 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (47) π§ Keyword Pioneer
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Conference Polyglot
(7)
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Prolific Year
(11)
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Century Club
(12)
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The Questioner
(3)
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Keyword Collector
(97)
Conferences
ACL (5)
EMNLP (4)
AAAI (2)
EACL (2)
AACL (1)
CVPR (1)
ICML (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
contrastive learning
(3)
document visual question answering
(2)
ethical alignment
(2)
supervised fine-tuning
(2)
confidence calibration
(2)
low-rank adaptation
(2)
causal reasoning
(1)
domain adaptation
(1)
model quantization
(1)
information extraction
(1)
clinical text mining
(1)
multimodal learning
(1)
document understanding
(1)
in-context learning
(1)
factual accuracy
(1)
semantic segmentation
(1)
object tracking
(1)
deepfake detection
(1)
multi-modal learning
(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 Itβs Wrong?
IJCNLP 2025
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
The Confidence Paradox: Can LLM Know When Itβs 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