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Expand Up @@ -967,21 +967,23 @@ These models apply Instruction Fine-Tuning techniques to enhance the capacities

58. "The KoLMogorov Test: Compression by Code Generation" [2025-03] [ICLR 2025] [[paper](https://arxiv.org/abs/2503.13992)]

59. **MathCoder-VL**: "MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning" [2025-05] [ACL 2025 Findings] [[paper](https://arxiv.org/abs/2505.10557)]
59. **OptimAI**: "OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents" [2025-04] [[paper](https://arxiv.org/abs/2504.16918)]

60. **R1-Code-Interpreter**: "R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning" [2025-05] [[paper](https://arxiv.org/abs/2505.21668)]
60. **MathCoder-VL**: "MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning" [2025-05] [ACL 2025 Findings] [[paper](https://arxiv.org/abs/2505.10557)]

61. "Towards Effective Code-Integrated Reasoning" [2025-05] [[paper](https://arxiv.org/abs/2505.24480)]
61. **R1-Code-Interpreter**: "R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning" [2025-05] [[paper](https://arxiv.org/abs/2505.21668)]

62. "CoRT: Code-integrated Reasoning within Thinking" [2025-06] [[paper](https://arxiv.org/abs/2506.09820)]
62. "Towards Effective Code-Integrated Reasoning" [2025-05] [[paper](https://arxiv.org/abs/2505.24480)]

63. "Code Execution as Grounded Supervision for LLM Reasoning" [2025-06] [EMNLP 2025] [[paper](https://arxiv.org/abs/2506.10343)]
63. "CoRT: Code-integrated Reasoning within Thinking" [2025-06] [[paper](https://arxiv.org/abs/2506.09820)]

64. **PBB**: "Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training" [2025-06] [[paper](https://arxiv.org/abs/2506.18777)]
64. "Code Execution as Grounded Supervision for LLM Reasoning" [2025-06] [EMNLP 2025] [[paper](https://arxiv.org/abs/2506.10343)]

65. "On Code-Induced Reasoning in LLMs" [2025-09] [[paper](https://arxiv.org/abs/2509.21499)]
65. **PBB**: "Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training" [2025-06] [[paper](https://arxiv.org/abs/2506.18777)]

66. **PIPS**: "Once Upon an Input: Reasoning via Per-Instance Program Synthesis" [2025-10] [[paper](https://arxiv.org/abs/2510.22849)]
66. "On Code-Induced Reasoning in LLMs" [2025-09] [[paper](https://arxiv.org/abs/2509.21499)]

67. **PIPS**: "Once Upon an Input: Reasoning via Per-Instance Program Synthesis" [2025-10] [[paper](https://arxiv.org/abs/2510.22849)]

### 3.2 Code Simulation

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