Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
A Generic Vehicle-to-Sensor Calibration Framework
WACV 2025
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
AAAI 2025
Agent-as-Judge for Factual Summarization of Long Narratives
EMNLP 2025
Agent-based Automated Claim Matching with Instruction-following LLMs
IJCNLP 2025
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
ACL 2025
AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
EMNLP 2025
AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories
EMNLP 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
EMNLP 2025
Agentic AI for Digital Twin
AAAI 2025
Agentic-R1: Distilled Dual-Strategy Reasoning
EMNLP 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
ACL 2025
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
EMNLP 2025
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
EMNLP 2025
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
NAACL 2025
Agent-Oriented Planning in Multi-Agent Systems
ICLR 2025
AgentPro: Enhancing LLM Agents with Automated Process Supervision
EMNLP 2025
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
ACL 2025
AgentRM: Enhancing Agent Generalization with Reward Modeling
ACL 2025
Agents generalize to novel levels of abstraction by using adaptive linguistic strategies
ACL 2025
Agent Skill Acquisition for Large Language Models via CycleQD
ICLR 2025
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
ACL 2025
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
ACL 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows
EMNLP 2025
Agent Workflow Memory
ICML 2025