{"total":22,"rows":[{"id":"2509.25123","title":"From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones","created":"2025-09-29","cited_by_count":42,"area":null},{"id":"2507.14632","title":"BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM","created":"2025-07-19","cited_by_count":29,"area":null},{"id":"2509.22638","title":"Language Models Can Learn from Verbal Feedback Without Scalar Rewards","created":"2025-09-26","cited_by_count":18,"area":null},{"id":"2506.23127","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","created":"2025-06-29","cited_by_count":9,"area":null},{"id":"2602.01826","title":"Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It","created":"2026-02-02","cited_by_count":9,"area":null},{"id":"2505.17145","title":"LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2508.11360","title":"CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks","created":"2025-08-15","cited_by_count":6,"area":null},{"id":"2602.12036","title":"Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models","created":"2026-02-12","cited_by_count":6,"area":null},{"id":"2506.12072","title":"TRACE: Transparent Web Reliability Assessment with Contextual Explanations","created":"2025-06-05","cited_by_count":5,"area":null},{"id":"2511.11500","title":"Honesty over Accuracy: Trustworthy Language Models through Reinforced Hesitation","created":"2025-11-14","cited_by_count":5,"area":null},{"id":"2604.11446","title":"Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration","created":"2026-04-13","cited_by_count":4,"area":null},{"id":"2509.23595","title":"Timber: Training-free Instruct Model Refining with Base via Effective Rank","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2507.17234","title":"CLARIFID: Improving Radiology Report Generation by Reinforcing Clinically Accurate Impressions and Enforcing Detailed Findings","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2605.17807","title":"Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2505.24500","title":"TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2509.08329","title":"Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2509.25240","title":"HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2602.20494","title":"KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2605.10810","title":"Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2607.08602","title":"Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2607.26515","title":"HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.10714","title":"Conversational Orchestration for Organic 6G","created":"2026-08-11","cited_by_count":0,"area":null}],"next_cursor":null}