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Linhai Zhang

29 papers · 2021–2026 · 5 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

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (71) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🀝 Dynamic Duo (27) 🧬 Topic Evolution 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (139)

Venues

ACL (14) EMNLP (7) AAAI (4) COLING (3) ICML (1)

Top co-authors

Deyu Zhou (27) Yulan He (14) Jialong Wu (6) Chenchen Ye (3) Zeng Yang (3) Congzhi Zhang (3) Jiasheng Si (2) Xin Zhang (2) Yunbo Cao (2) Qian-Wen Zhang (2)

Research topics

Artificial Intelligence (21) Machine Learning (20) Core AI (19) Natural Language Processing (16) Learning Types Β· Machine Learning (12) Applications (10) Deep Learning (9) Core Methods (8) Application Areas (6) Learning Types Β· Deep Learning (6) Learning Paradigms (4) Models (4) Resources & Methods (3) Understanding (3) Healthcare & Medicine (2)

Keywords

large language model (5) contrastive learning (4) sentiment analysis (3) topic modeling (3) multi-hop reasoning (3) retrieval-augmented generation (3) causal inference (3) few-shot learning (3) named entity recognition (3) neural topic model (2) soft prompt (2) model compression (2) multi-task learning (2) knowledge base question answering (2) transfer learning (2) parameter-efficient fine-tuning (2) explainable ai (2) prompt engineering (2) dynamic graph (2) low-rank adaptation (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 Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation EMNLP 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning ICML 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering EMNLP 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling ACL 2025 WebWalker: Benchmarking LLMs in Web Traversal ACL 2025 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 TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024 Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition ACL 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 Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network EMNLP 2023 A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge ACL 2022 Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge ACL 2022 SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022 Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding COLING 2022 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 A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness AAAI 2021 Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs EMNLP 2021 Implicit Sentiment Analysis with Event-centered Text Representation EMNLP 2021 MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces AAAI 2021