time-embed-bge-m3-lms-temporal-phase2-74

Time-Embed BGE-M3 LMS Temporal Phase2.74

This checkpoint is a Korean LMS temporal-expression embedding model derived from BAAI/bge-m3.

Phase2.74 is not a new gradient-training run. It is a training-free convex interpolation between two Time-Embed checkpoints:

candidate = (1 - alpha) * phase2.72 + alpha * phase2.73
alpha = 0.75

The purpose is to keep the Phase2.72 temporal frontier while borrowing the small semantic/calendar gains observed in Phase2.73.

Intended Use

Use this model for Korean LMS retrieval where relative temporal expressions must be separated precisely, for example:

• 일주일 전, 7일 전, 1주 전
• 지난주 versus 7일 전
• 최근 7일 versus 7일 전
• 지난달 versus 30일 전
• same time expression but different LMS item type or intent

This model is specialized for temporal-expression retrieval. It is not a general-purpose replacement for BAAI/bge-m3 without task-specific validation.

Internal Evaluation

Promotion baseline: Phase2.72.

All three internal suites passed their gates, and all three suites had negative_near_one_rate=0.0.

MTEB Retention Check

Base-vs-checkpoint Korean MTEB comparison:

No general catastrophic forgetting was detected by the project default rule: all drops stayed within the -0.01 retention band.

Caveat

The smallest Phase2.74 frontier gain over Phase2.72 is only +0.000000159. Treat this model as a narrow frontier improvement, not a wide-margin quality jump. Downstream consumers should keep Phase2.72 as a fallback candidate until Phase2.74 is validated in the target LMS retrieval stack.

Provenance

• Base model: BAAI/bge-m3
• Parent checkpoints:
  • kev-KOH/time-embed-bge-m3-lms-temporal-phase2-72
  • local Phase2.73 checkpoint
• Research note: wiki/2026-06-26/research/phase2-74-p72-p73-semantic-frontier-interpolation-design.md