Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Nov 201619922001200920172026
4 results for “order-aware”
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplarscs.AI

EASE optimizes exemplar selection for ICL in LLMs efficiently.

problem Efficiently selecting exemplars for in-context learning (ICL) in large language models (LLMs).
method EASE uses neural bandit algorithms to optimize exemplar sets, considering both exemplar ordering and instruction.
result EASE outperforms existing methods in finding optimal exemplar sets for all test queries.
in-context learninglarge language modelsexemplar selectionneural banditorder-aware
2024-05-25abs ↗pdf ↗
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordinationq-fin.TR

ATLAS uses LLMs to adaptively trade by optimizing prompts and coordinating agents.

problem Adapting LLMs for real-time financial decision-making in noisy markets.
method ATLAS integrates structured market data, uses Adaptive-OPRO for prompt optimization, and employs multi-agent coordination.
result Adaptive-OPRO consistently outperforms fixed prompts in financial trading.
LLM tradingprompt optimizationmulti-agent coordinationfinancial decision-makingmarket noise
2025-10-10abs ↗pdf ↗