| SCOPE-RL: Optimizing Reasoning Paths Before and After Success added by Syntology |
2026-07 (from id) |
tokencraft-lab/SCOPE-RL/verl/recipe/scope_rl/reward_score/step_quality.py bd6200a962c0b2b3 |
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| Learning from the Self-future: On-policy Self-distillation for dLLMs added by Syntology |
2026-06 (from id) |
xingzhejun/d-OPSD/d-opsd/math500_utils.py 4e621edb2336a842 |
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| Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation added by Syntology |
2026-06 (from id) |
YuYingLi0/FiRe-OPD/math_eval/eval_math.py 9a85fff3911bdfa2 |
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| GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models added by Syntology |
2026-05 (from id) |
GaryBall/GDSD/gdsd/utils/math500_utils.py e4d5a8bc57ae4499 |
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| RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data added by Syntology |
2026-05 (from id) |
Celine-hxy/ATLAS/verl/verl/utils/reward_score/math_dapo.py 52adf1b5d14ad2a3 |
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| Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement added by Syntology |
2026-05 (from id) |
CuSO4-Chen/AKBE/AKBE/verl_akbe/verl/utils/reward_score/reward_em_betagrpo.py f6271eeda6c120b7 |
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| Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation added by Syntology |
2026-05 (from id) |
caiyuchen-ustc/EffOPD/EffOPD/math_eval/eval_math.py 9a85fff3911bdfa2 |
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| GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs added by Syntology |
2026-04 (from id) |
ulab-uiuc/GraphPlanner/router_planner/shared/math_eval.py c70fa8b9ac912e78 |
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| TLoRA: Task-aware Low Rank Adaptation of Large Language Models added by Syntology |
2026-04 (from id) |
Rambo-Yi/TLora/evaluate/math/eval_math.py f3bbe264b05aadd3 |
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| A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities added by Syntology |
2026-04 (from id) |
cjia7/DPR/src/npti/eval/eval_math.py ed70d70cd67847d0 |
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| REAM: Merging Improves Pruning of Experts in LLMs added by Syntology |
2026-04 (from id) |
zai-org/glm-simple-evals/evals/math_eval.py f3bbe264b05aadd3 |
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| UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs added by Syntology |
2026-02 (from id) |
dshah02/upskill/src/DAPO_math_dapo.py 52adf1b5d14ad2a3 |
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| UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs added by Syntology |
2026-02 (from id) |
dshah02/upskill/src/flex_extract.py 937ef0071534906e |
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| IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning added by Syntology |
2026-02 (from id) |
YinhanHe123/IAPO/compute_reward.py ea98a34b07fe1bfa |
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MIT (permissive) |
| Diffusion-State Policy Optimization for Masked Diffusion Language Models added by Syntology |
2026-02 (from id) |
dllm-reasoning/d1/diffu-grpo/math500_utils.py 4e621edb2336a842 |
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| ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment added by Syntology |
2026-01 (from id) |
sheriyuo/ETS/aime24/utils.py 52adf1b5d14ad2a3 |
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| TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs added by Syntology |
2025-11 (from id) |
zhangyx1122/TokenSqueeze/utils/math500_verify.py 53a8a2e9d14cedfd |
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| DYNAACT: Large Language Model Reasoning with Dynamic Action Spaces added by Syntology |
2025-11 (from id) |
zhaoxlpku/DynaAct/math_utils.py f3bbe264b05aadd3 |
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| Skywork-R1V3 Technical Report |
8 Jul 2025 |
seephys/seephys-project/vlmeval/api/bluelm_api.py e531d45668a6c715 |
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| SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning |
30 Jun 2025 |
spiral-rl/spiral/spiral/utils.py f3bbe264b05aadd3 |
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| TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning |
20 May 2025 |
uw-nsl/tinyv/analysis_tool/verl_reward_score/math.py 53a8a2e9d14cedfd |
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MIT (permissive) |
| arXiv:2503.05188 |
2025-03 (from id) |
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| ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks |
2025-03 (from id) |
hengzzzhou/reso/ReSo/agent_graph/agent_graph.py 8f1b63da3ae1c5a7 |
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| Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models |
24 Feb 2025 |
synthlabsai/big-math/signals/rollouts_based_signals/math_eval.py 1fa9e0d56b6ac064 |
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| Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? |
17 Feb 2025 |
ZhiYuanZeng/test-time-scaling-eval/math_evaluator.py 9a85fff3911bdfa2 |
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| Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning |
11 Feb 2025 |
allanraventos/refine/refine/training/filter_samples.py 45f1d7f7f2d4a1e5 |
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MIT (permissive) |
| What Do Learning Dynamics Reveal About Generalization in LLM Reasoning? |
12 Nov 2024 |
katiekang1998/reasoning_generalization/math_eval_samples.py f3bbe264b05aadd3 |
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| Automatic Curriculum Expert Iteration for Reliable LLM Reasoning |
10 Oct 2024 |
salesforceairesearch/auto-cei/data/MATH/data_pre.py 05ccbbbc214e3ed4 |
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| LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning |
3 Oct 2024 |
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| T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition |
29 Sep 2024 |
nctu-eva-lab/vhd11k/autogen/math_utils.py 7e08ca15778b791e |
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| To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning |
18 Sep 2024 |
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| BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models |
8 Aug 2024 |
cyp-jlu-ai/ba-lora/inference/math_inference.py f3bbe264b05aadd3 |
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| LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback |
20 Jun 2024 |
kbsdjames/math-minos/evaluation/eval_math.py f3bbe264b05aadd3 |
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| Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models |
13 Jun 2024 |
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| Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B |
11 Jun 2024 |
trotsky1997/mathblackbox/run_with_earlystopping.py 9a85fff3911bdfa2 |
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| VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks |
24 May 2024 |
leo-yangli/VB-LoRA/math_instruction_tuning/instruction_tuning_eval/MATH_eval.py f3bbe264b05aadd3 |
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| Can LLMs Solve longer Math Word Problems Better? |
23 May 2024 |
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| Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning |
5 May 2024 |
tongjingqi/MathTrap/eval/eval_MATH_category2.py f3bbe264b05aadd3 |
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| Make Your LLM Fully Utilize the Context |
25 Apr 2024 |
microsoft/FILM/short_tasks/utils.py f3bbe264b05aadd3 |
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MIT (permissive) |
| Learning From Mistakes Makes LLM Better Reasoner |
31 Oct 2023 |
microsoft/lema/inference_code/utils.py f3bbe264b05aadd3 |
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| NEFTune: Noisy Embeddings Improve Instruction Finetuning |
9 Oct 2023 |
akjindal53244/arithmo/eval/MATH/MATH_compute_metric_zero_shot_CoT.py f3bbe264b05aadd3 |
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| MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models |
21 Sep 2023 |
meta-math/MetaMath/eval_math.py f3bbe264b05aadd3 |
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| Re-Reading Improves Reasoning in Large Language Models |
12 Sep 2023 |
tebmer/rereading-llm-reasoning/utils/util.py f3bbe264b05aadd3 |
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| Sparks of Artificial General Intelligence: Early experiments with GPT-4 |
22 Mar 2023 |
emrgnt-cmplxty/zero-shot-replication/zero_shot_replication/core/math_helpers.py 7ef45e32b9ecc76b |
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| Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference |
8 Mar 2023 |
kevin666aa/flaml/flaml/autogen/math_utils.py 33b20bbce665cc7a |
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| Measuring Mathematical Problem Solving With the MATH Dataset |
5 Mar 2021 |
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| arXiv:openreview_QrC8OgQyOI |
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viiika/Prism/Dream/Dream_Prism/metrics/gsmk8_eval.py fa5d8fca12c5c0c8 |
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| arXiv:2025.findings-emnlp.598 |
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RUCAIBox/MMATH/utils.py 9a85fff3911bdfa2 |
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| arXiv:2024.findings-emnlp.407 |
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amayuelas/multi-agent-attack/multiagent_debate/math_parsing.py f3bbe264b05aadd3 |
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