Linhai Zhang
29 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
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🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (7)
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(25)
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Conferences
ACL (14)
EMNLP (7)
AAAI (4)
COLING (3)
ICML (1)
Top co-authors
Keywords
large language model
(5)
contrastive learning
(4)
sentiment analysis
(3)
named entity recognition
(3)
multi-hop reasoning
(3)
few-shot learning
(3)
retrieval-augmented generation
(3)
causal inference
(3)
topic modeling
(3)
probabilistic embedding
(2)
model compression
(2)
neural topic model
(2)
multi-task learning
(2)
knowledge base question answering
(2)
relation detection
(2)
transfer learning
(2)
soft prompt
(2)
explainable ai
(2)
prompt engineering
(2)
dynamic graph
(2)
Papers
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
ACL 2026
Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation
ACL 2026
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
ACL 2025
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
AAAI 2025
WebWalker: Benchmarking LLMs in Web Traversal
ACL 2025
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
ACL 2025
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
ACL 2025
SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling
ACL 2025
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
EMNLP 2025
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
EMNLP 2025
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
ICML 2025
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition
COLING 2024
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
AAAI 2024
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference
ACL 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
ACL 2024
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition
ACL 2023
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
EMNLP 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge
ACL 2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding
COLING 2022
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition
COLING 2022
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge
ACL 2022
Implicit Sentiment Analysis with Event-centered Text Representation
EMNLP 2021
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness
AAAI 2021
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
AAAI 2021
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs
EMNLP 2021
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering
EMNLP 2021
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation
EMNLP 2021