Zhiwei Liu
30 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🌈
Renaissance Researcher
(10)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(6)
🤝
Dynamic Duo
(13)
👥
Mega-Team
(34)
🧬
Topic Evolution
💎
Century Club
(26)
❓
The Questioner
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(132)
🔥
Unstoppable
(7)
Conferences
ACL (10)
EMNLP (8)
NIPS (3)
ECCV (2)
ICLR (2)
COLING (1)
CONLL (1)
CVPR (1)
EACL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(11)
question answering
(4)
llm agent
(3)
agent system
(3)
pre-trained language model
(3)
language model
(3)
misinformation detection
(3)
retrieval-augmented generation
(3)
ai agent
(2)
reinforcement learning
(2)
trajectory learning
(2)
knowledge distillation
(2)
text classification
(2)
multi-task learning
(2)
autonomous agent
(2)
contrastive learning
(2)
intent classification
(2)
text generation
(2)
cross-domain learning
(2)
transfer learning
(2)
Papers
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
ACL 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
ACL 2026
RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models
ACL 2026
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
ACL 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary
ACL 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 2025
FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task
COLING 2025
xLAM: A Family of Large Action Models to Empower AI Agent Systems
NAACL 2025
SlackAgents: Scalable Collaboration of AI Agents in Workspaces
EMNLP 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
Selective Preference Optimization via Token-Level Reward Function Estimation
EMNLP 2025
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
NIPS 2024
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NIPS 2024
FinBen: A Holistic Financial Benchmark for Large Language Models
NIPS 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CONLL 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
EACL 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
EMNLP 2024
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
ICLR 2024
CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification
ACL 2023
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
ACL 2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
ACL 2022
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
EMNLP 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
Identity-Guided Human Semantic Parsing for Person Re-Identification
ECCV 2020
Adaptive Variance Based Label Distribution Learning For Facial Age Estimation
ECCV 2020
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
CVPR 2019