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ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1w ago
SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video Analysis
arXiv:2503.10265v3 Announce Type: replace Abstract: Robotic-assisted surgery (RAS) is central to modern surgery, driving the need for intelligent systems with a
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1w ago
Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection
arXiv:2609.14570v1 Announce Type: cross Abstract: Multi-agent LLM systems combine multiple inference calls, but prior work often confounds how calls are connect
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
3w ago
Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols
arXiv:2608.30420v1 Announce Type: cross Abstract: Automating the analysis of whole-slide images has high clinical value, since characterizing cancers requires e
MarkTechPost
✍️ Prompt Engineering
1mo ago
Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demo
Generalist AI has released GEN-1.5, a robot foundation model that learns a new physical task from a single demonstration. Drop 3–12 seconds of sensorimotor data
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1mo ago
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
arXiv:2608.18158v1 Announce Type: cross Abstract: LLMs have been increasingly used to catch data quality issues automatically, but we know very little about how
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1mo ago
When Do Explanations Help In-Context Learning? A Comparative Study of Natural Language Explanation Types and Faithfulness
arXiv:2608.16627v1 Announce Type: cross Abstract: Natural language explanations (NLEs) are increasingly used as inputs, for example, as few-shot rationales that
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1mo ago
Zero-Shot Instruction Following in RL via Structured LTL Representations
arXiv:2602.14344v2 Announce Type: replace-cross Abstract: We study instruction following in multi-task reinforcement learning, where an agent must zero-shot exe
ArXiv cs.AI
✍️ Prompt Engineering
📄 Paper
1mo ago
Your Prompt Is Not the Only Prompt: How Much Do LLMs Weight Structured-Output Schema Descriptions?
arXiv:2608.08254v1 Announce Type: new Abstract: Structured output, where an LLM populates a predefined JSON schema, has become a default mechanism for data labe
DeepCamp AI