conftrace_
← Learning Types
Machine Learning › Learning Types ›

Fine-Tuning

490 papers

Papers per year

1
1
4
8
15
34
57
154
213
3

Papers

Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow EMNLP 2024
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset EMNLP 2024
Nebula: A discourse aware Minecraft Builder EMNLP 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024
DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models EMNLP 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
Aligners: Decoupling LLMs and Alignment EMNLP 2024
CoCoHD: Congress Committee Hearing Dataset EMNLP 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024
Considering Human Interaction and Variability in Automatic Text Simplification EMNLP 2024
Difficult for Whom? A Study of Japanese Lexical Complexity EMNLP 2024
HW-TSC’s Participation in the WMT 2024 QEAPE Task EMNLP 2024
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024 EMNLP 2024
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs SEMEVAL 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning SEMEVAL 2024
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SEMEVAL 2024
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NIPS 2023
Theoretical and Practical Perspectives on what Influence Functions Do NIPS 2023
Fine-Grained Retrieval Prompt Tuning AAAI 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues ACL 2023
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora ACL 2023