Tech Meridian ← ENTITY INDEX
PROMY MERIDIAN RU

MODEL · ENTITY #16870

gpt-oss-120b

Related event timeline, sources and context from the news index.

EVENT TIMELINE

2

RESEARCH · 1 SOURCE · Apple Machine Learning Research

Study: Plan-then-Retrieve outperforms Retrieve-then-Plan for multi-tool queries

The paper compares two tool-discovery architectures for tool-augmented LLM agents — Retrieve-then-Plan (RtP) and Plan-then-Retrieve (PtR) — using ToolBench (≈47k APIs). RtP is better on single-tool queries, while PtR outperforms RtP on intra- and cross-category multi-tool queries across retrieval budgets, registry sizes, and evaluated LLMs (Gemini 2.5 Flash, gpt-oss-120b); PtR can hallucinate fictitious API stubs and roughly doubles inference cost, motivating complexity-adaptive routing using RtP’s top-1 score as a cheap signal.

7.0

RESEARCH · 1 SOURCE · arXiv cs.AI

MagicBeanStalk (arXiv:2610.12659v1): recursive data synthesis to escape RLVR zero-advantage trap

The paper (arXiv:2610.12659v1) identifies a ‘zero-advantage’ dataset failure mode in RLVR—about 88% of problems in a large open-source math corpus are solved or fail in every rollout for a fixed target policy and budget—and shows filtering alone discards hard, informative problems. It introduces MagicBeanStalk, a top-down decomposition and bottom-up recursive data-synthesis method that grows seed problems into policy- and budget-calibrated families; continual RLVR on these problems raises gpt-oss-120b from 61.2 to 69.8 (+8.6) and DeepSeek v4Flash from 72.4 to 77.9 (+5.4) on 16K-token rollouts, and synthesizes 14K verifiable finance problems from 340 solutions improving SecQue and FinanceBench by 6.9 and 2.4 points respectively.

7.0