…The following papers were recommended by the Semantic Scholar API Spec Kit Agents: Context-Grounded Agentic Workflows (2026) AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs (2026) Toward Autonomous…
…Gaotang Li , , , , , , , , , , , Abstract Deep research agents trained using RubricEM framework demonstrate superior performance on long-form research tasks through rubric-guided reinforcement learning with stage-aware planning and reflection-based meta-policy…
…presence_of_all_elements_located((By.ID, "onetrust-accept-btn-handler"))) elements[0].click() agent = CodeAgent( tools=[go_back, close_popups, search_item_ctrl_f, close_cookie_popup], model=model, additional_authorized…
…We present PIPE-Cypher, a local benchmark-generation pipeline that turns a live property graph and optional seed queries from customer questions, analyst logs, or agent tool calls into balanced NL-to…
…basic spatial relations, nonprehensile multi-object manipulation, tool use, combinatorial geometric constraints, and dynamic constraints , disentangled from perception, language understanding, and application-specific complexity. Empirical evaluation shows that existing methods struggle to…
…While generative AI can produce HTML codes, existing tools generate static presentations rather than interactive simulations, struggle with long documents, and lack pedagogical accuracy mechanisms. Furthermore, full regeneration for modifications requires 200…
…Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks (2026) AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair (2026) ValueBlindBench: Agreement-Gated Stress Testing of…
…Yet even in the simplest setting -- factoid question-answering with clear ground truth -frontier models without external tools continue to hallucinate. We argue that most factuality gains in this domain have come…
…Language Models Debugging (2026) Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety (2026) Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework (2026…
…AI-generated summary While self-supervised pretraining has reduced vision systems' reliance on synthetic data, simulation remains an indispensable tool for closed-loop optimization and rigorous out-of-distribution (OOD) evaluation. However…