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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning
EMNLP 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
EMNLP 2025
Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
EMNLP 2025
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
EMNLP 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
EMNLP 2025
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
EMNLP 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
EMNLP 2025
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI
EMNLP 2025
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
EMNLP 2025
Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
EMNLP 2025
Can Role Vectors Affect LLM Behaviour?
EMNLP 2025
Hierarchical Reward Modeling for Fault Localization in Large Code Repositories
EMNLP 2025
Layer Duplication in LLMs
EMNLP 2025
A Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies
EMNLP 2025
InFact: Informativeness Alignment for Improved LLM Factuality
EMNLP 2025
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment
EMNLP 2025
Large Language Models as Reader for Bias Detection
EMNLP 2025
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
EMNLP 2025
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors
EMNLP 2025
Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
EMNLP 2025
LlmFixer: Fix the Helpfulness of Defensive Large Language Models
EMNLP 2025
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
EMNLP 2025
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