A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks
AI & ML interests
data-centric AI, Agents in ML, Automated AI, AI for Science
Recent Activity
Papers
How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
Uncovering Scaling Laws for Large Language Models via Inverse Problems
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Glow-AI/MeMo
Viewer • Updated • 25.8k • 137 • 2 -
Glow-AI/QWEN2.5-14b_instruct-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
15B • Updated • 9 -
Glow-AI/GEMMA3-1b-IT-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
1B • Updated • 9 -
Glow-AI/QWEN2.5-1.5b_instruct-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
2B • Updated • 10
A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks
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Glow-AI/MeMo
Viewer • Updated • 25.8k • 137 • 2 -
Glow-AI/QWEN2.5-14b_instruct-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
15B • Updated • 9 -
Glow-AI/GEMMA3-1b-IT-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
1B • Updated • 9 -
Glow-AI/QWEN2.5-1.5b_instruct-bcp300_step1-5_with_N_neg_batchsize512_best_epoch
2B • Updated • 10
models 27
Glow-AI/QWEN2.5-1.5b_instruct-NQA10_step1-5_batchsize512_best_epoch
2B • Updated • 10
Glow-AI/QWEN2.5-14b_instruct-NQA10_step1-5_batchsize512_best_epoch
2B • Updated • 28
Glow-AI/QWEN2.5-14B-NQA10_step1-5_batchsize256_model_merging_merge-ties-d0.3
15B • Updated • 13
Glow-AI/QWEN2.5-14B-NQA5_2_step1-5_batchsize256_best_epoch
15B • Updated • 10
Glow-AI/QWEN2.5-14B-NQA5_1_step1-5_batchsize256_best_epoch
15B • Updated • 9
Glow-AI/Lora_QWEN2.5-1.5b_instruct-MSQ1000_step1-5_with_N_neg_batchsize256_best_epoch
2B • Updated • 10
Glow-AI/Lora_QWEN2.5-14b_instruct-MSQ1000_step1-5_with_N_neg_batchsize256_best_epoch
15B • Updated • 9
Glow-AI/Lora_LFM2.5-1.2b_instruct-MSQ1000_step1-5_with_N_neg_batchsize256_best_epoch
1B • Updated • 12
Glow-AI/Lora_GEMMA3-1b_instruct-MSQ1000_step1-5_with_N_neg_batchsize256_best_epoch
1.0B • Updated • 11
Glow-AI/QWEN2.5-1.5b_instruct-MSQ1000_step1-5_with_N_neg_batchsize256_best_epoch
2B • Updated • 20