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Domain Adaptation

8,656 papers

Papers per year

Papers

Code_Gen at BLP-2025 Task 2: BanglaCode: A Cross-lingual Benchmark for Code Generation with Translation and Assertion Strategies AACL 2025
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study AACL 2025
Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs AACL 2025
SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification AACL 2025
Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation AACL 2025
goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation AACL 2025
Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025 AACL 2025
Team-SVNIT at JUST-NLP 2025: Domain-Adaptive Fine-Tuning of Multilingual Models for English–Hindi Legal Machine Translation AACL 2025
Bridging the Gap: Instruction-Tuned LLMs for Scientific Named Entity Recognition AACL 2025
A Hybrid LLM and Supervised Model Pipeline for Polymer Property Extraction from Tables in Scientific Literature AACL 2025
Efficient Context-Limited Telescope Bibliography Classification for the WASP-2025 Shared Task Using SciBERT AACL 2025
Overview of the First Workshop on Sign Language Processing (WSLP 2025) AACL 2025
Multilingual Sign Language Translation with Unified Datasets and Pose-Based Transformers AACL 2025
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NIPS 2024
Test-Time Dynamic Image Fusion NIPS 2024
Data Distribution Valuation NIPS 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NIPS 2024
On $f$-Divergence Principled Domain Adaptation: An Improved Framework NIPS 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science NIPS 2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NIPS 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024
Historical Test-time Prompt Tuning for Vision Foundation Models NIPS 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NIPS 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees NIPS 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024