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Methodology
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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
Revisiting the Self-Consistency Challenges in Multi-Choice Question Formats for Large Language Model Evaluation
COLING 2024
ARM: Alignment with Residual Energy-Based Model
NAACL 2024
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
NAACL 2024
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
NAACL 2024
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
NAACL 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
NAACL 2024
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
NAACL 2024
Efficient Sample-Specific Encoder Perturbations
NAACL 2024
Arithmetic Reasoning with LLM: Prolog Generation & Permutation
NAACL 2024
Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation
NAACL 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
NAACL 2024
Large Language Models Encode the Practice of Medicine
NAACL 2024
Automatic Pair Construction for Contrastive Post-training
NAACL 2024
Emergent Abilities in Reduced-Scale Generative Language Models
NAACL 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
NAACL 2024
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles
NAACL 2024
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation
NAACL 2024
FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment
NAACL 2024
Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications
NAACL 2024
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
NAACL 2024
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
NAACL 2024
Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models
NAACL 2024
CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization
AAAI 2024
Do Large Language Models Latently Perform Multi-Hop Reasoning?
ACL 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
ACL 2024
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