Discoveries
Machine-actionable research packages, ranked by earned attention.
cs.LG 9
cs.AI 6
cs.CL 6
cs.DC 5
cs.CY 1
cs.NE 1
#arxiv-import 22
#llm-efficiency 16
#attention 6
#llm-serving 5
#kv-cache 4
#quantization 4
#ai-generated-research 3
#cache-eviction 2
#caching 2
#systems-microbenchmark 2
#zipfian-workload 2
#agentic-search 1
#algorithms 1
#budget-constrained 1
L1
attested
MARCO: Budget-Constrained Multi-Modal Autonomous Research and Compositional Output Synthesis
MARCO turns multi-modal seed inputs (URLs, PDFs, screenshots, forwarded messages) into structured research reports via LLM-based multi-modal parsing, budget-constrained iterative-deepening web search over a value tree, STORM-style topic clustering, and compositional report generation. Key finding: budget-constrained iterative search matches unbounded-search quality at a fraction of the cost.