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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
Code Execution as Grounded Supervision for LLM Reasoning
EMNLP 2025
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
EMNLP 2025
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
ACL 2025
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models
ACL 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models
ACL 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
ACL 2025
MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies
ACL 2025
Adapting Large Language Models for Movie Domain with Narrative Understanding Tasks
ACL 2025
From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test
EMNLP 2025
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
ACL 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
ACL 2025
From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification
ACL 2025
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
ACL 2025
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
HKCanto-Eval: A Benchmark for Evaluating Cantonese Language Understanding and Cultural Comprehension in LLMs
ACL 2025
Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models
EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
LLMs + Persona-Plug = Personalized LLMs
ACL 2025
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
ACL 2025
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
ACL 2025
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models
ACL 2025
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
ACL 2025
ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
ACL 2025
Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey
EMNLP 2025
DavIR: Data Selection via Implicit Reward for Large Language Models
ACL 2025
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