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Artificial Intelligence
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Core AI
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Foundation Models
4,845 papers
Papers per year
2002: 1
2006: 1
2007: 1
2008: 1
2010: 1
2012: 2
2013: 1
2014: 1
2015: 2
2016: 7
2017: 15
2018: 49
2019: 69
2020: 123
2021: 204
2022: 243
2023: 579
2024: 1365
2025: 1819
2026: 361
Papers
EmpathicStories++: A Multimodal Dataset for Empathy Towards Personal Experiences
ACL 2024
Planning First, Question Second: An LLM-Guided Method for Controllable Question Generation
ACL 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
ACL 2024
Extending Context Window of Large Language Models via Semantic Compression
ACL 2024
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
ACL 2024
ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining
ACL 2024
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
ACL 2024
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
ACL 2024
Towards Uncertainty-Aware Language Agent
ACL 2024
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation
ACL 2024
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
ACL 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
ACL 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective
ACL 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
ACL 2024
Penetrative AI: Making LLMs Comprehend the Physical World
ACL 2024
ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
ACL 2024
DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models
ACL 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
ACL 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
ACL 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
ACL 2024
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