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TitleStatusHype
Reasoning-Grounded Natural Language Explanations for Language ModelsCode0
Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity—0
Test-Time Training Provably Improves Transformers as In-context Learners—0
TigerLLM -- A Family of Bangla Large Language ModelsCode0
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning—0
BriLLM: Brain-inspired Large Language Model—0
Large language model-powered AI systems achieve self-replication with no human intervention—0
LLM Agents for Education: Advances and Applications—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction TuningCode0
Hybrid Agents for Image Restoration—0
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More—0
LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems—0
SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable—0
TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics—0
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model—0
NeurIPS 2023 LLM Efficiency Fine-tuning Competition—0
PRISM: Preference Refinement via Implicit Scene Modeling for 3D Vision-Language Preference-Based Reinforcement Learning—0
MouseGPT: A Large-scale Vision-Language Model for Mouse Behavior Analysis—0
SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation—0
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation—0
Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search—0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge—0
PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs—0
Reinforcement Learning is all You Need—0
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