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← Core AI
Artificial Intelligence
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Foundation Models
4845 directly classified 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
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
EMNLP 2023
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
EMNLP 2023
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
EMNLP 2023
RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms
EMNLP 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
EMNLP 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
EMNLP 2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
EMNLP 2023
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
EMNLP 2023
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling
EMNLP 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
Dynamic Open-book Prompt for Conversational Recommender System
EMNLP 2023
NEWTON: Are Large Language Models Capable of Physical Reasoning?
EMNLP 2023
DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding
EMNLP 2023
In-Context Learning Creates Task Vectors
EMNLP 2023
The language of prompting: What linguistic properties make a prompt successful?
EMNLP 2023
Ranking LLM-Generated Loop Invariants for Program Verification
EMNLP 2023
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
EMNLP 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
EMNLP 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models
EMNLP 2023
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
EMNLP 2023
STEER: Unified Style Transfer with Expert Reinforcement
EMNLP 2023
POSQA: Probe the World Models of LLMs with Size Comparisons
EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
MCC-KD: Multi-CoT Consistent Knowledge Distillation
EMNLP 2023
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