Sendong Zhao
20 papers · 2019–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (63) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(17)
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(118)
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Deep Learning
(13)
Machine Learning
(13)
Learning Types Β· Deep Learning
(12)
Natural Language Processing
(9)
Application Areas
(8)
Applications
(7)
Learning Types Β· Machine Learning
(6)
Resources & Methods
(5)
Healthcare & Medicine
(4)
Clinical
(3)
Core Methods
(3)
Models
(3)
Computer Vision
(1)
Keywords
large language model
(8)
few-shot learning
(3)
domain adaptation
(3)
language model
(2)
adversarial learning
(2)
text generation
(2)
retrieval-augmented generation
(2)
model robustness
(1)
shortcut learning
(1)
neural decoding
(1)
transfer learning
(1)
text classification
(1)
manifold learning
(1)
knowledge distillation
(1)
lottery ticket hypothesis
(1)
prompt engineering
(1)
in-context learning
(1)
preference alignment
(1)
model evaluation
(1)
knowledge editing
(1)
Papers
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
ACL 2026
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
ACL 2026
When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
ACL 2026
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
ACL 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
ACL 2025
Investigating the Security Threat Arising from βYes-Noβ Implicit Bias in Large Language Models
AAAI 2025
LLMs May Perform MCQA by Selecting the Least Incorrect Option
COLING 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
AS-ES Learning: Towards efficient CoT learning in small models
ACL 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
AAAI 2024
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
AAAI 2024
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
NeurIPS 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
AAAI 2024
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
IJCAI 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
EMNLP 2023
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
ACL 2023
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
COLING 2022
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension
EMNLP 2021
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
AAAI 2019
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
AAAI 2019