Summary of Mia-tuner: Adapting Large Language Models As Pre-training Text Detector, by Wenjie Fu et al.
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detectorby Wenjie Fu, Huandong Wang, Chen Gao,…
Summary of A New Perspective on Bayesian Operational Modal Analysis, by Brandon J. O’connell et al.
A new perspective on Bayesian Operational Modal Analysisby Brandon J. O'Connell, Max D. Champneys, Timothy…
Summary of Can Large Language Models Improve the Adversarial Robustness Of Graph Neural Networks?, by Zhongjian Zhang et al.
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?by Zhongjian Zhang, Xiao…
Summary of Turning Trash Into Treasure: Accelerating Inference Of Large Language Models with Token Recycling, by Xianzhen Luo et al.
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recyclingby Xianzhen Luo,…
Summary of Abq-llm: Arbitrary-bit Quantized Inference Acceleration For Large Language Models, by Chao Zeng et al.
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Modelsby Chao Zeng, Songwei Liu, Yusheng Xie,…
Summary of Explain, Agree, Learn: Scaling Learning For Neural Probabilistic Logic, by Victor Verreet et al.
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logicby Victor Verreet, Lennert De Smet, Luc…
Summary of Deepseek-prover-v1.5: Harnessing Proof Assistant Feedback For Reinforcement Learning and Monte-carlo Tree Search, by Huajian Xin et al.
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Searchby Huajian Xin, Z.Z.…
Summary of Derivative-free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding, by Xiner Li et al.
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decodingby Xiner Li, Yulai…
Summary of Bindy — Bayesian Identification Of Nonlinear Dynamics with Reversible-jump Markov-chain Monte-carlo, by Max D. Champneys et al.
BINDy – Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carloby Max D. Champneys, Timothy…
Summary of The Unreasonable Effectiveness Of Solving Inverse Problems with Neural Networks, by Philipp Holl et al.
The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networksby Philipp Holl, Nils ThuereyFirst submitted…