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Domain Adaptation

8656 directly classified papers

Papers per year

Papers

Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026

Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering AAAI 2026

SRACG: A Code Generation Framework with Selective Retrieval Augmentation AAAI 2026

MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA AAAI 2026

LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026

ST-LLM: Spatial Transcriptomics Embedding with Large Language Models AAAI 2026

MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations AAAI 2026

Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation AAAI 2026

WikiMAG: A Multi-Agent Guided Framework for Generating Structured Wikipedia-like Articles AAAI 2026

Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR AAAI 2026

PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement AAAI 2026

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion AAAI 2026

CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models EACL 2026

Text-based Aerial-Ground Person Retrieval AAAI 2026

S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation AAAI 2026

Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End? AAAI 2026

CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026

FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining AAAI 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026

Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation AAAI 2026

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026

Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training AAAI 2026

GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026

Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation AAAI 2026