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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6,405 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
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation
EMNLP 2024
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
EMNLP 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
EMNLP 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
EMNLP 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
EMNLP 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models
EMNLP 2024
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
EMNLP 2024
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
EMNLP 2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
EMNLP 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
EMNLP 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
Attribute or Abstain: Large Language Models as Long Document Assistants
EMNLP 2024
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
EMNLP 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
EMNLP 2024
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
EMNLP 2024
Humans or LLMs as the Judge? A Study on Judgement Bias
EMNLP 2024
WPO: Enhancing RLHF with Weighted Preference Optimization
EMNLP 2024
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