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Methodology
← 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
MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion
EMNLP 2025
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
EMNLP 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
EMNLP 2025
On the Role of Model Prior in Real-World Inductive Reasoning
EMNLP 2025
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
EMNLP 2025
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation
EMNLP 2025
NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
EMNLP 2025
Circuit Complexity Bounds for RoPE-based Transformer Architecture
EMNLP 2025
Towards Infinite-Long Prefix in Transformer
EMNLP 2025
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
EMNLP 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
EMNLP 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
EMNLP 2025
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
EMNLP 2025
D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
EMNLP 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
EMNLP 2025
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
EMNLP 2025
ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments
EMNLP 2025
From A and B to A+B: Can Large Language Models Solve Compositional Math Problems?
EMNLP 2025
LightThinker: Thinking Step-by-Step Compression
EMNLP 2025
Teaching Your Models to Understand Code via Focal Preference Alignment
EMNLP 2025
Thought calibration: Efficient and confident test-time scaling
EMNLP 2025
HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning
EMNLP 2025
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
ACL 2025
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