| Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference added by Syntology |
2026-08 (from id) |
burcgokden/lm-evaluation-harness-with-PLDR-LLM/lm_eval/models/pldrllm.py d45ec14e4fa4dd35 |
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| Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation added by Syntology |
2026-06 (from id) |
PunchlineAAAA/DICE/dream/generation_utils.py d78ba22cffe4710b |
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| TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models added by Syntology |
2026-06 (from id) |
PKU-ML/TrustLDM/generate_functions/generate_dream.py afeb1c0675c8b6a9 |
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| MotionHiFlow: Text-to-Motion via Hierarchical Flow Matching added by Syntology |
2026-04 (from id) |
ai-lh/MotionHiFlow/src/evaluators/t2m_eval_modules.py 0f0021cdea13e4da |
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| R 2 -dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction added by Syntology |
2026-04 (from id) |
GATECH-EIC/R2-dLLM/dream/model/generation_utils.py d78ba22cffe4710b |
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| DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference added by Syntology |
2026-04 (from id) |
X-Xia0828/DepCap/dream/model/generation_utils.py d78ba22cffe4710b |
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| DAWN: Dependency-Aware Fast Inference for Diffusion LLMs added by Syntology |
2026-02 (from id) |
lizhuo-luo/DAWN/dream/model/generation_utils.py d78ba22cffe4710b |
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MIT (permissive) |
| AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? added by Syntology |
2026-02 (from id) |
AMAP-ML/AR-MAP/dLLM-RL-main/generate.py 5ed7c8c8efe5160d |
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| Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding added by Syntology |
2026-01 (from id) |
xiaoshideta/Streaming-dLLM/OpenPangu/inference/generation_utils_streaming.py d78ba22cffe4710b |
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| Selecting Language Models for Social Science: Start Small, Start Open, and Validate Preprint XX(X):1-22 ©The Author(s) 2026 added by Syntology |
2026-01 (from id) |
openai/gpt-2/src/sample.py d45ec14e4fa4dd35 |
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| Position: Foundation Agents as the Paradigm Shift for Decision Making |
27 May 2024 |
microsoft/smart/src/models/utils.py 0f0021cdea13e4da |
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| Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention |
4 Apr 2024 |
applied-machine-learning-lab/dt4ier/utils.py 0f0021cdea13e4da |
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| Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces |
29 Mar 2024 |
toshihiro-ota/decision-mamba/atari/mingpt/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection |
17 Feb 2024 |
mbzuai-nlp/m4gt-bench/src/GLTR/backend/api.py 7be611d6e7fba121 |
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| Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction |
6 Feb 2024 |
ygjin11/r2-play/tool/utils.py 0f0021cdea13e4da |
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| MoMask: Generative Masked Modeling of 3D Human Motions |
29 Nov 2023 |
EricGuo5513/momask-codes/models/t2m_eval_modules.py 0f0021cdea13e4da |
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MIT (permissive) |
| Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT |
11 Oct 2023 |
deanhazineh/emergent-world-representations-othello/EWOthello/othello_world/mingpt/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| Emergent Linear Representations in World Models of Self-Supervised Sequence Models |
2 Sep 2023 |
ajyl/mech_int_othellogpt/mingpt/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training |
16 Jul 2023 |
yunyikristy/DualMind/src/models/utils.py 0f0021cdea13e4da |
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| Recurrent Action Transformer with Memory |
15 Jun 2023 |
airi-institute/rate/Atari/train_rate_atari.py 0f0021cdea13e4da |
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MIT (permissive) |
| Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task |
24 Oct 2022 |
likenneth/othello_world/mingpt/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts |
4 Jul 2022 |
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| CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers |
28 Apr 2022 |
thudm/cogview2/coglm_strategy.py 5825bfe57509ed97 |
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Apache-2.0 (permissive) |
| StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning |
12 Oct 2021 |
elicassion/StARformer/atari_and_dmc/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| CCVS: Context-aware Controllable Video Synthesis |
16 Jul 2021 |
16lemoing/ccvs/models/skip_vid_generator/models/mingpt.py 0f0021cdea13e4da |
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MIT (permissive) |
| SymbolicGPT: A Generative Transformer Model for Symbolic Regression |
27 Jun 2021 |
mojivalipour/symbolicgpt/utils.py 0f0021cdea13e4da |
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MIT (permissive) |
| Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation |
14 Jun 2021 |
shawnlimn/scalegrad/custom/sequence_generator.py 298689919da2c5b0 |
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MIT (permissive) |
| Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation |
14 Jun 2021 |
shawnlimn/ScaleGrad/custom/sequence_generator.py ace3f464bf5b4c7a |
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| Offline Reinforcement Learning as One Big Sequence Modeling Problem |
3 Jun 2021 |
JannerM/trajectory-transformer/trajectory/search/sampling.py 0f0021cdea13e4da |
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MIT (permissive) |
| Offline Reinforcement Learning as One Big Sequence Modeling Problem |
3 Jun 2021 |
howuhh/faster-trajectory-transformer/trajectory/utils/common.py c7cbcd467cc49a53 |
unverified |
MIT (permissive) |
| Geometry-Free View Synthesis: Transformers and no 3D Priors |
15 Apr 2021 |
CompVis/geometry-free-view-synthesis/geofree/modules/transformer/mingpt.py 0f0021cdea13e4da |
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MIT (permissive) |
| The Adapter-Bot: All-In-One Controllable Conversational Model |
28 Aug 2020 |
HLTCHKUST/adapterbot/interact_adapter.py 612fc65430e63524 |
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| Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order |
24 Apr 2020 |
huawei-noah/Pretrained-Language-Model/PMLM/interactive_conditional_samples_sincos_acrostic.py eaa09f3e52dcedfd |
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| Neural Text Generation with Unlikelihood Training |
12 Aug 2019 |
facebookresearch/unlikelihood_training/custom/sequence_generator.py ace3f464bf5b4c7a |
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| GLTR: Statistical Detection and Visualization of Generated Text |
10 Jun 2019 |
tgao1337/detecting-fake-text/backend/api.py 7be611d6e7fba121 |
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Apache-2.0 (permissive) |
| arXiv:openreview_QrC8OgQyOI |
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viiika/Prism/Dream/Dream_Prism/src/diffllm/gen_utils.py d78ba22cffe4710b |
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| arXiv:2023.findings-acl.805 |
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iesl/Softmax-CPR/src/LM/utils_testing.py a5301805a0a78cfb |
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| arXiv:2023.findings-acl.765 |
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qtli/EIB/code/BottleSum/bottleSelf_summarize.py 3c40291da6e3944c |
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