…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…
…AI-generated summary Reinforcement learning with verifiable rewards (RLVR) for Large Reasoning Models hinges on baseline estimation for variance reduction , but existing approaches pay a heavy price: PPO requires a policy-model…
…To this end, we first compile Themis-CodeRewardBench, a benchmark to evaluate code RMs across five preference dimensions (i.e., criteria) and eight programming languages, on which we profile 50+ code, math…
…We find that OPD on mathematical reasoning is highly sensitive to teacher choice and loss formulation, whereas OPSD fails in our tested settings due to test-time absence of instance-specific privileged…
…Evaluated on LLaDA-8B and Dream-7B, this approach yields strict accuracy improvements across mathematical reasoning and code synthesis, including a +4.4 exact match increase on Big-Bench Hard. Get this…
…AI-generated summary Large language models perform strongly on benchmarks in mathematical reasoning , coding and document analysis , suggesting a broad ability to follow instructions. However, it remains unclear whether such success reflects…
…AI-generated summary Reinforcement Learning with Verifiable Rewards (RLVR) has achieved great success in developing Large Language Models ( LLMs ) with chain-of-thought rollouts for many tasks such as math and coding…
…A Cross-Domain Dataset of Grounded Scientific Reasoning Traces for Hypothesis Generation (2026) Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval (2026) NovBench: Evaluating Large Language…
…APO (like DPO) works well for general instruction following and can handle reasoning tasks given appropriate preference data, which you generated using Qwen models GRPO was specifically designed for mathematical reasoning with…