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COMPANY · ENTITY #9430

FinQA

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2

MODELS · 1 SOURCE · Cohere

Cohere releases Embed 5 embeddings family with Pro and Fast tiers

Cohere announced Embed 5, a new family of embeddings offered in Pro and Fast tiers that support multimodal inputs, 100+ languages, and a 128K-token context window. Cohere says Embed 5 Pro achieves the highest average scores in their tests (notably on ViDoRe V3 and financial benchmarks), while Embed 5 Fast offers lower-latency, lower-cost retrieval; both share a single embedding space and are available via the Cohere API, Model Vault, Microsoft Foundry, and Amazon SageMaker with pricing at $0.12/million tokens (Pro) and $0.08/million tokens (Fast).

8.0

RESEARCH · 1 SOURCE · arXiv cs.AI

HARDEN: constrained evolutionary search to create harder, answer-preserving evaluation cases

HARDEN is a constrained evolutionary search method that adapts inputs of existing evaluation cases into more challenging variants while preserving expected outputs and enforcing feasibility constraints (semantics, realism, execution validity). Applied to FinQA, PubMedQA, and ContractNLI on three Qwen3.5 scales, HARDEN reduced model accuracy by 22.7% on average and up to 49.9% versus single-pass baselines using the same feasibility checks.

6.0