Goal clarifications lose nearly all value after 10% of execution while input clarifications retain value until roughly 50%, and asking any type past mid-trajectory hurts performance more than never asking.
Comparison of text-based and image-based retrieval in multimodal retrieval augmented generation large language model systems.arXiv preprint arXiv:2511.16654, 2025a
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A new framework parses and evaluates citations in LLM deep research reports across link validity, relevance, and factuality, finding 94%+ link success but only 39-77% factual accuracy.
GeoMark decouples local watermark triggering from centralized ownership attribution using geometry-separated anchors and adaptive neighborhoods to improve robustness against paraphrasing, dimension changes, and clustering attacks while preserving utility.
citing papers explorer
-
Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
Goal clarifications lose nearly all value after 10% of execution while input clarifications retain value until roughly 50%, and asking any type past mid-trajectory hurts performance more than never asking.
-
Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
A new framework parses and evaluates citations in LLM deep research reports across link validity, relevance, and factuality, finding 94%+ link success but only 39-77% factual accuracy.
-
Geometry-Aware Localized Watermarking for Copyright Protection in Embedding-as-a-Service
GeoMark decouples local watermark triggering from centralized ownership attribution using geometry-separated anchors and adaptive neighborhoods to improve robustness against paraphrasing, dimension changes, and clustering attacks while preserving utility.