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Depression Detection on DAIC-WOZ (dev)

90F1 (avg)RED
14.39234.02153.6573.279Feb 16, 2025Apr 26, 2025Jul 5, 2025Sep 13, 2025Nov 22, 2025Jan 31, 2026Apr 11, 2026

Evaluation results

MethodLinks
REDMethod Category=LLM-based, Backbone=GPT-4o2025.0390——87.8392.17————
SEGA++Method Category=NN-based2025.0387.76——84.6290.91————
SEGAMethod Category=NN-based2025.0384.93——81.4888.37————
Naive RAGMethod Category=LLM-based, Backbone=GPT-4o2025.0384.39——78.9788.05————
Personal RAGMethod Category=LLM-based, Backbone=GPT-4o2025.0384.39——79.8788.92————
w-GCNMethod Category=NN-based2025.0383.81——78.2689.36————
MFM-AttMethod Category=NN-based2025.0382.14——78.5785.71————
HCAGMethod Category=NN-based2025.0381.64——76.9286.36————
Direct PromptMethod Category=LLM-based, Backbone=GPT-4o2025.0378.9——74.0783.72————
EATD-FusionMethod Category=NN-based2025.0377.34——69.5785.11————
WavLMCategory=Speech SSL Baselines2025.0270750.024——————
Transformer(Qwen) + ACMG w Cross-modalAudio=true, Text=true2026.0469.39————71.7968.48——
Timing-RAG (SpeechT-RAG)Model=Llama3 8B Instruct, Examples=42025.0269.273.30.049——————
Wang et al. (2022)Audio=true, Text=true2026.0468.34————————
HuBERTCategory=Speech SSL Baselines2025.0266.776.20.052——————
Timing-RAG (SpeechT-RAG)Model=Llama3 8B, Examples=42025.0265.169.20.048——————
Transformer(Qwen)Audio=true, Text=true2026.0464.38————64.7764.13——
Gomez-Zaragoza et al. (2025)Audio=true, Text=true2026.0464.3————————
Llama2 13BMethod=Fine-tune, Examples=02025.0263.6————————
Wav2Vec 2.0Category=Speech SSL Baselines2025.0262.766.70.043——————
Text-RAGModel=Llama3 8B Instruct, Examples=12025.0262.764.30.021——————
Timing-RAG (SpeechT-RAG)Model=Llama3 8B Instruct, Examples=22025.0262.462.50.002——————
Timing-RAG (SpeechT-RAG)Model=Llama3 8B, Examples=22025.0260.1640.026——————
Al Hanai et al. (2018)Audio=false, Text=true2026.0459————7150——
Llama2 7BMethod=Fine-tune, Examples=02025.0257.8————————
Timing-RAG (SpeechT-RAG)Model=Llama2 7B Chat, Examples=22025.0256.3600.032——————
Timing-RAG (SpeechT-RAG)Model=Llama2 7B, Examples=22025.0254.857.10.03——————
Llama2 13B ChatMethod=Fine-tune, Examples=02025.0254.5————————
Timing-RAG (SpeechT-RAG)Model=Llama2 13B Chat, Examples=22025.0252.853.30.007——————
Llama3 8BMethod=Zero-shot, Examples=02025.0252.853.70.008——————
Llama3 8B InstructMethod=Zero-shot, Examples=02025.0251.753.70.021——————
Timing-RAG (SpeechT-RAG)Model=Llama2 13B, Examples=22025.0251.658.10.058——————
Timing-RAG (SpeechT-RAG)Model=Llama3 8B, Examples=12025.0250.757.10.047——————
Al Hanai et al. (2018)Audio=true, Text=false2026.0450————7138——
Timing-RAG (SpeechT-RAG)Model=Llama3 8B Instruct, Examples=12025.0249.7500.007——————
Llama2 7B ChatMethod=Fine-tune, Examples=02025.0248.8————————
Text-RAGModel=Llama3 8B, Examples=12025.0245.848.70.02——————
Text-RAGModel=Llama3 8B Instruct, Examples=22025.0230.431.60.008——————
Text-RAGModel=Llama3 8B, Examples=22025.0229.231.60.038——————
Llama2 13BMethod=Zero-shot, Examples=02025.0224.9300.037——————
Llama2 7B ChatMethod=Zero-shot, Examples=02025.0219.520.70.023——————
Llama2 13B ChatMethod=Zero-shot, Examples=02025.0218.619.10.005——————
Llama2 7BMethod=Zero-shot, Examples=02025.0217.318.20.011——————
CTDModality=Conversational Temporal Dynamics (CTD)2026.07———————74.658.1
RoBERTa-LargeModality=Text (T)2026.07———————6951.7
RoBERTa-Large + CTDModality=T + CTD, Fusion=Convex-weighted late fusion2026.07———————80.464.3
WavLM-LargeModality=Acoustic (A)2026.07———————67.349.8
WavLM-Large + CTDModality=A + CTD, Fusion=Convex-weighted late fusion2026.07———————77.561.8
WavLM-Large + RoBERTa-LargeModality=A + T, Fusion=Convex-weighted late fusion2026.07———————7052
WavLM-Large + RoBERTa-Large + CTD (Three-way Fusion)Modality=A + T + CTD, Fusion=Convex-weighted late fusion2026.07———————80.464.3