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Fine-Tuning

487 directly classified papers

Papers per year

Papers

Fine‐Tuned Transformers for Detection and Classification of Persuasion Techniques in Slavic Languages ACL 2025
Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS ACL 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models ACL 2025
Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations ACL 2025
Learning and Evaluating Factual Clarification Question Generation Without Examples ACL 2025
Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track ACL 2025
Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates ACL 2025
UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification ACL 2025
FORTIFY: Generative Model Fine-tuning with ORPO for ReTrieval Expansion of InFormal NoisY Text ACL 2025
Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT ACL 2025
Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems ACL 2025
InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages ACL 2025
Framing the Language: Fine-Tuning Gemma 3 for Manipulation Detection ACL 2025
Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification ACL 2025
𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025
Tongue-Tied: Breaking LLMs Safety Through New Language Learning NAACL 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ACL 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment EMNLP 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025
Global Eye: Breaking the “Fixed Thinking Pattern” during the Instruction Expansion Process ACL 2025
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text ACL 2025
Towards Infinite-Long Prefix in Transformer EMNLP 2025
Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models EMNLP 2025