Summary of Unveiling the Secret Recipe: a Guide For Supervised Fine-tuning Small Llms, by Aldo Pareja et al.
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMsby Aldo Pareja, Nikhil Shivakumar…
Summary of Finegates: Llms Finetuning with Compression Using Stochastic Gates, by Jonathan Svirsky et al.
FineGates: LLMs Finetuning with Compression using Stochastic Gatesby Jonathan Svirsky, Yehonathan Refael, Ofir LindenbaumFirst submitted…
Summary of A Comparative Study Of Pruning Methods in Transformer-based Time Series Forecasting, by Nicholas Kiefer et al.
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecastingby Nicholas Kiefer, Arvid Weyrauch,…
Summary of Bridging the Gap: Enhancing Llm Performance For Low-resource African Languages with New Benchmarks, Fine-tuning, and Cultural Adjustments, by Tuka Alhanai et al.
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and…
Summary of Explore Theory Of Mind: Program-guided Adversarial Data Generation For Theory Of Mind Reasoning, by Melanie Sclar et al.
Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoningby Melanie Sclar,…
Summary of Graphtool-instruction: Revolutionizing Graph Reasoning in Llms Through Decomposed Subtask Instruction, by Rongzheng Wang et al.
GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instructionby Rongzheng Wang, Shuang Liang, Qizhi…
Summary of Citrus: Squeezing Extra Performance Out Of Low-data Bio-signal Transfer Learning, by Eloy Geenjaar and Lie Lu
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learningby Eloy Geenjaar, Lie LuFirst submitted…
Summary of Evollama: Enhancing Llms’ Understanding Of Proteins Via Multimodal Structure and Sequence Representations, by Nuowei Liu et al.
EvoLlama: Enhancing LLMs’ Understanding of Proteins via Multimodal Structure and Sequence Representationsby Nuowei Liu, Changzhi…
Summary of Understanding Knowledge Hijack Mechanism in In-context Learning Through Associative Memory, by Shuo Wang et al.
Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memoryby Shuo Wang, Issei SatoFirst submitted…
Summary of Barcodemamba: State Space Models For Biodiversity Analysis, by Tiancheng Gao et al.
BarcodeMamba: State Space Models for Biodiversity Analysisby Tiancheng Gao, Graham W. TaylorFirst submitted to arxiv…