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Methodology
← Learning Types
Deep Learning
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Learning Types
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Fine-Tuning
704 directly classified papers
Papers per year
2014: 1
2016: 1
2017: 1
2018: 5
2019: 17
2020: 38
2021: 42
2022: 62
2023: 84
2024: 201
2025: 251
2026: 1
Papers
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
ACL 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
DavIR: Data Selection via Implicit Reward for Large Language Models
ACL 2025
INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages
ACL 2025
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases
ACL 2025
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
ACL 2025
Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
ACL 2025
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5
ACL 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
ACL 2025
HFT: Half Fine-Tuning for Large Language Models
ACL 2025
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
ACL 2025
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
ACL 2025
DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
ACL 2025
Flexora: Flexible Low-Rank Adaptation for Large Language Models
ACL 2025
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
ACL 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
ACL 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
ACL 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
ACL 2025
Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis
ACL 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
ACL 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
ACL 2025
Training Language Models to Critique With Multi-agent Feedback
EMNLP 2025
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