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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2603.09906
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GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 223 -
DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
Paper • 2602.16742 • Published • 12 -
From Perception to Action: An Interactive Benchmark for Vision Reasoning
Paper • 2602.21015 • Published • 26 -
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 76
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AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 4 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 110
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StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 58 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published • 1 -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
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Mixture of Contexts for Long Video Generation
Paper • 2508.21058 • Published • 35 -
Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models
Paper • 2512.21337 • Published • 31 -
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
Paper • 2512.15374 • Published • 6 -
Fast-weight Product Key Memory
Paper • 2601.00671 • Published • 7
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MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
Paper • 2601.07526 • Published • 23 -
Intelligent AI Delegation
Paper • 2602.11865 • Published • 16 -
ENGRAM: Effective, Lightweight Memory Orchestration for Conversational Agents
Paper • 2511.12960 • Published • 1 -
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation
Paper • 2604.19741 • Published • 17
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Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 21 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 107 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 44
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HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 25.7k • 305 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
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Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Paper • 2506.14702 • Published • 3 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 279 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 95
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
Paper • 2601.07526 • Published • 23 -
Intelligent AI Delegation
Paper • 2602.11865 • Published • 16 -
ENGRAM: Effective, Lightweight Memory Orchestration for Conversational Agents
Paper • 2511.12960 • Published • 1 -
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation
Paper • 2604.19741 • Published • 17
-
GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 223 -
DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
Paper • 2602.16742 • Published • 12 -
From Perception to Action: An Interactive Benchmark for Vision Reasoning
Paper • 2602.21015 • Published • 26 -
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 76
-
AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 4 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 110
-
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 21 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 107 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 44
-
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 58 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published • 1 -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
-
HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 25.7k • 305 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
-
Mixture of Contexts for Long Video Generation
Paper • 2508.21058 • Published • 35 -
Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models
Paper • 2512.21337 • Published • 31 -
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
Paper • 2512.15374 • Published • 6 -
Fast-weight Product Key Memory
Paper • 2601.00671 • Published • 7
-
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Paper • 2506.14702 • Published • 3 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 279 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 95