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deep-diver · May 20, 2024 · dacfcad · dacfcad
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diff --git a/...er learning in large language models.yaml → ...er+learning+in+large+language+models.yaml b/...er learning in large language models.yaml → ...er+learning+in+large+language+models.yaml
diff --git a/...Grounded 3D-LLM with Referent Tokens.yaml → ...Grounded+3D-LLM+with+Referent+Tokens.yaml b/...Grounded 3D-LLM with Referent Tokens.yaml → ...Grounded+3D-LLM+with+Referent+Tokens.yaml
diff --git a/...e Models for Scientific Applications.yaml → ...e+Models+for+Scientific+Applications.yaml b/...e Models for Scientific Applications.yaml → ...e+Models+for+Scientific+Applications.yaml
diff --git a/...t Inference of Large Language Models.yaml → ...t+Inference+of+Large+Language+Models.yaml b/...t Inference of Large Language Models.yaml → ...t+Inference+of+Large+Language+Models.yaml
diff --git a/...bility of Language Model Performance.yaml → ...bility+of+Language+Model+Performance.yaml b/...bility of Language Model Performance.yaml → ...bility+of+Language+Model+Performance.yaml
diff --git a/tags/Computer Vision.md b/tags/Computer Vision.md
@@ -431,3 +431,4 @@
 - [Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Dual3D%3A+Efficient+and+Consistent+Text-to-3D+Generation+with+Dual-mode+Multi-view+Latent+Diffusion.yaml) / 2024-05-17
 - [Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Grounding+DINO+1.5%3A+Advance+the+%22Edge%22+of+Open-Set+Object+Detection.yaml) / 2024-05-17
 - [Toon3D: Seeing Cartoons from a New Perspective](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Toon3D%3A+Seeing+Cartoons+from+a+New+Perspective.yaml) / 2024-05-17
+- [Grounded 3D-LLM with Referent Tokens](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Grounded+3D-LLM+with+Referent+Tokens.yaml) / 2024-05-20
diff --git a/tags/Deep Learning.md b/tags/Deep Learning.md
@@ -605,3 +605,7 @@
 - [Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Grounding+DINO+1.5%3A+Advance+the+%22Edge%22+of+Open-Set+Object+Detection.yaml) / 2024-05-17
 - [LoRA Learns Less and Forgets Less](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+LoRA+Learns+Less+and+Forgets+Less.yaml) / 2024-05-17
 - [Many-Shot In-Context Learning in Multimodal Foundation Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Many-Shot+In-Context+Learning+in+Multimodal+Foundation+Models.yaml) / 2024-05-17
+- [Dynamic data sampler for cross-language transfer learning in large language models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Dynamic+data+sampler+for+cross-language+transfer+learning+in+large+language+models.yaml) / 2024-05-20
+- [Grounded 3D-LLM with Referent Tokens](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Grounded+3D-LLM+with+Referent+Tokens.yaml) / 2024-05-20
+- [INDUS: Effective and Efficient Language Models for Scientific Applications](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+INDUS%3A+Effective+and+Efficient+Language+Models+for+Scientific+Applications.yaml) / 2024-05-20
+- [Layer-Condensed KV Cache for Efficient Inference of Large Language Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Layer-Condensed+KV+Cache+for+Efficient+Inference+of+Large+Language+Models.yaml) / 2024-05-20
diff --git a/tags/Emerging Applications of Machine Learning.md b/tags/Emerging Applications of Machine Learning.md
@@ -60,3 +60,4 @@
 - [SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/79/2024-05-14+SambaNova+SN40L%3A+Scaling+the+AI+Memory+Wall+with+Dataflow+and+Composition+of+Experts.yaml) / 2024-05-14
 - [Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/80/2024-05-15+Coin3D%3A+Controllable+and+Interactive+3D+Assets+Generation+with+Proxy-Guided+Conditioning.yaml) / 2024-05-15
 - [Chameleon: Mixed-Modal Early-Fusion Foundation Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Chameleon%3A+Mixed-Modal+Early-Fusion+Foundation+Models.yaml) / 2024-05-17
+- [Layer-Condensed KV Cache for Efficient Inference of Large Language Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Layer-Condensed+KV+Cache+for+Efficient+Inference+of+Large+Language+Models.yaml) / 2024-05-20
diff --git a/tags/Natural Language Processing.md b/tags/Natural Language Processing.md
@@ -476,3 +476,8 @@
 - [Chameleon: Mixed-Modal Early-Fusion Foundation Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Chameleon%3A+Mixed-Modal+Early-Fusion+Foundation+Models.yaml) / 2024-05-17
 - [Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Dual3D%3A+Efficient+and+Consistent+Text-to-3D+Generation+with+Dual-mode+Multi-view+Latent+Diffusion.yaml) / 2024-05-17
 - [LoRA Learns Less and Forgets Less](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+LoRA+Learns+Less+and+Forgets+Less.yaml) / 2024-05-17
+- [Dynamic data sampler for cross-language transfer learning in large language models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Dynamic+data+sampler+for+cross-language+transfer+learning+in+large+language+models.yaml) / 2024-05-20
+- [Grounded 3D-LLM with Referent Tokens](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Grounded+3D-LLM+with+Referent+Tokens.yaml) / 2024-05-20
+- [INDUS: Effective and Efficient Language Models for Scientific Applications](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+INDUS%3A+Effective+and+Efficient+Language+Models+for+Scientific+Applications.yaml) / 2024-05-20
+- [Layer-Condensed KV Cache for Efficient Inference of Large Language Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Layer-Condensed+KV+Cache+for+Efficient+Inference+of+Large+Language+Models.yaml) / 2024-05-20
+- [Observational Scaling Laws and the Predictability of Language Model Performance](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Observational+Scaling+Laws+and+the+Predictability+of+Language+Model+Performance.yaml) / 2024-05-20
diff --git a/tags/Optimization and Learning Algorithms.md b/tags/Optimization and Learning Algorithms.md
@@ -90,3 +90,4 @@
 - [BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/81/2024-05-16+BEHAVIOR+Vision+Suite%3A+Customizable+Dataset+Generation+via+Simulation.yaml) / 2024-05-16
 - [Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/81/2024-05-16+Xmodel-VLM%3A+A+Simple+Baseline+for+Multimodal+Vision+Language+Model.yaml) / 2024-05-16
 - [Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Grounding+DINO+1.5%3A+Advance+the+%22Edge%22+of+Open-Set+Object+Detection.yaml) / 2024-05-17
+- [Layer-Condensed KV Cache for Efficient Inference of Large Language Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Layer-Condensed+KV+Cache+for+Efficient+Inference+of+Large+Language+Models.yaml) / 2024-05-20
diff --git a/tags/Robotics and Control.md b/tags/Robotics and Control.md
@@ -34,3 +34,4 @@
 - [Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/75/2024-04-30+Ag2Manip%3A+Learning+Novel+Manipulation+Skills+with+Agent-Agnostic+Visual+and+Action+Representations.yaml) / 2024-04-30
 - [LEGENT: Open Platform for Embodied Agents](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/75/2024-04-30+LEGENT%3A+Open+Platform+for+Embodied+Agents.yaml) / 2024-04-30
 - [TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+TRANSIC%3A+Sim-to-Real+Policy+Transfer+by+Learning+from+Online+Correction.yaml) / 2024-05-17
+- [Grounded 3D-LLM with Referent Tokens](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Grounded+3D-LLM+with+Referent+Tokens.yaml) / 2024-05-20
diff --git a/tags/Supervised Learning.md b/tags/Supervised Learning.md
@@ -234,3 +234,5 @@
 - [LoRA Learns Less and Forgets Less](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+LoRA+Learns+Less+and+Forgets+Less.yaml) / 2024-05-17
 - [Many-Shot In-Context Learning in Multimodal Foundation Models](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+Many-Shot+In-Context+Learning+in+Multimodal+Foundation+Models.yaml) / 2024-05-17
 - [TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/82/2024-05-17+TRANSIC%3A+Sim-to-Real+Policy+Transfer+by+Learning+from+Online+Correction.yaml) / 2024-05-17
+- [Grounded 3D-LLM with Referent Tokens](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Grounded+3D-LLM+with+Referent+Tokens.yaml) / 2024-05-20
+- [Observational Scaling Laws and the Predictability of Language Model Performance](https://github.com/deep-diver/hf-daily-paper-newsletter/blob/main/archive/83/2024-05-20+Observational+Scaling+Laws+and+the+Predictability+of+Language+Model+Performance.yaml) / 2024-05-20