…The following papers were recommended by the Semantic Scholar API Verifier-Backed Hard Problem Generation for Mathematical Reasoning (2026) ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning (2026…
…AI-generated summary Reinforcement learning with verifiable rewards (RLVR) has become a central paradigm for improving reasoning and code generation in large language models, and GRPO-style training is widely adopted for…
…Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis (2026) Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design (2026) Verifier-Backed Hard Problem Generation for Mathematical Reasoning (2026…
…AI-generated summary Reinforcement learning (RL) has become a central post-training tool for improving the reasoning abilities of large language models (LLMs). In these systems, the rollout, the trajectory sampled from…
…We show that, initialized with weak agents, the economy produces emergent multi-step reasoning strategies and outperforms stronger monolithic baselines across five agentic tasks, including mathematical reasoning, financial research, scientific research, accelerator…
…Empirical results show that ESamp significantly boosts the Pass@k efficiency of reasoning models, showing superior or comparable performance to strong stochastic and heuristic baselines. Notably, ESamp achieves robust generalization across mathematics…
…maintaining accuracy in distributed language model agents. AI-generated summary Large language model (LLM) agents face a structural tension: cloud agents provide strong reasoning but expose user data, while on-device agents…
…AI-generated summary Reinforcement learning (RL) has been applied to improve large language model (LLM) reasoning, yet the systematic study of how training scales with task difficulty has been hampered by the…
…Profiling-Driven Tabular Data Processing via Agentic Workflows (2026) MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis (2026) Please give a thumbs up to this comment if you found…
…RL Post-Training for General-Purpose and Efficient Reasoning (2026) Towards Understanding the Robustness of Sparse Autoencoders (2026) Unified Data Selection for LLM Reasoning (2026) Please give a thumbs up to this…