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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
Position: LLMs Can be Good Tutors in English Education
EMNLP 2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
EMNLP 2025
Temporal Referential Consistency: Do LLMs Favor Sequences Over Absolute Time References?
EMNLP 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
EMNLP 2025
Multi-perspective Analysis of Large Language Model Domain Specialization: An Experiment in Accounting Audit Procedures Generation
EMNLP 2025
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent
EMNLP 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding
EMNLP 2025
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
EMNLP 2025
Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMs
EMNLP 2025
Alignment for Efficient Tool Calling of Large Language Models
EMNLP 2025
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models
EMNLP 2025
Retrieval-augmented GUI Agents with Generative Guidelines
EMNLP 2025
Answer Convergence as a Signal for Early Stopping in Reasoning
EMNLP 2025
AI Sees Your Location—But With A Bias Toward The Wealthy World
EMNLP 2025
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
EMNLP 2025
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
EMNLP 2025
Language Models as Continuous Self-Evolving Data Engineers
EMNLP 2025
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference
EMNLP 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
EMNLP 2025
Evaluating and Aligning Human Economic Risk Preferences in LLMs
EMNLP 2025
Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models
EMNLP 2025
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
EMNLP 2025
STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
EMNLP 2025
Towards a Unified Paradigm of Concept Editing in Large Language Models
EMNLP 2025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
EMNLP 2025
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