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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
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
EMNLP 2025
s1: Simple test-time scaling
EMNLP 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
EMNLP 2025
Reading Between the Prompts: How Stereotypes Shape LLM’s Implicit Personalization
EMNLP 2025
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
EMNLP 2025
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
EMNLP 2025
LimRank: Less is More for Reasoning-Intensive Information Reranking
EMNLP 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
EMNLP 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
EMNLP 2025
Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
EMNLP 2025
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection
EMNLP 2025
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
EMNLP 2025
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
EMNLP 2025
Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models
EMNLP 2025
SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs
EMNLP 2025
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
EMNLP 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
EMNLP 2025
Tool Preferences in Agentic LLMs are Unreliable
EMNLP 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
MultiDocFusion : Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents
EMNLP 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
EMNLP 2025
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
EMNLP 2025
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