Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core AI
Artificial Intelligence
›
Core AI
›
Large Language Models
6405 directly classified 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
Mutual-Taught for Co-adapting Policy and Reward Models
ACL 2025
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
ACL 2025
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
ACL 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
ACL 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
ACL 2025
M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs
ACL 2025
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
ACL 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
ACL 2025
PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
ACL 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
ACL 2025
Sheep’s Skin, Wolf’s Deeds: Are LLMs Ready for Metaphorical Implicit Hate Speech?
ACL 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
SimulS2S-LLM: Unlocking Simultaneous Inference of Speech LLMs for Speech-to-Speech Translation
ACL 2025
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models
ACL 2025
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
ACL 2025
The Role of Deductive and Inductive Reasoning in Large Language Models
ACL 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels
ACL 2025
ACT: Knowledgeable Agents to Design and Perform Complex Tasks
ACL 2025
Logical forms complement probability in understanding language model (and human) performance
ACL 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Global Eye: Breaking the “Fixed Thinking Pattern” during the Instruction Expansion Process
ACL 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs
NAACL 2025
<
1
…
35
36
37
…
257
>