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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
SparQLe: Speech Queries to Text Translation Through LLMs
ACL 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
ACL 2025
KIT’s Offline Speech Translation and Instruction Following Submission for IWSLT 2025
ACL 2025
Simultaneous Translation with Offline Speech and LLM Models in CUNI Submission to IWSLT 2025
ACL 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
ACL 2025
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
ACL 2025
Can LLMs Recognize Their Own Analogical Hallucinations? Evaluating Uncertainty Estimation for Analogical Reasoning
ACL 2025
Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections
ACL 2025
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
ACL 2025
Reasoning or Memorization? Investigating LLMs’ Capability in Restoring Chinese Internet Homophones
ACL 2025
Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates
ACL 2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
ACL 2025
Memorization in Language Models through the Lens of Intrinsic Dimension
ACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
ACL 2025
On the Way to LLM Personalization: Learning to Remember User Conversations
ACL 2025
From Teacher to Student: Tracking Memorization Through Model Distillation
ACL 2025
Understanding Verbatim Memorization in LLMs Through Circuit Discovery
ACL 2025
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
ACL 2025
Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting
ACL 2025
Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models
ACL 2025
Empirical Evaluation of Loss Masking to Selectively Prevent Memorization
ACL 2025
Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion
ACL 2025
Memorization: A Close Look at Books
ACL 2025
Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings
ACL 2025
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
ACL 2025
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