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Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
arXiv:2411.08165v2 Announce Type: replace-cross Abstract: The Knowledge Graph Completion~(KGC) task aims to infer the missing...
Retrieval-augmented reasoning with lean language models
arXiv:2508.11386v1 Announce Type: new Abstract: This technical report details a novel approach to combining reasoning...
Rethinking Verification for LLM Code Generation: From Generation to Testing
arXiv:2507.06920v2 Announce Type: replace Abstract: Large language models (LLMs) have recently achieved notable success in...
Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
DeepSeek’s advancements were inevitable, but the company brought them forward a few years earlier than...
Retail Resurrection: David’s Bridal bets its future on AI after double bankruptcy
How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model...
REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models
Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across...
Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective
arXiv:2506.02553v1 Announce Type: cross Abstract: We study a common challenge in reinforcement learning for large...
Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
The effectiveness of language models relies on their ability to simulate human-like step-by-step deduction. However...
Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions...
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
arXiv:2509.04770v1 Announce Type: new Abstract: Accurately answering complex questions has consistently been a significant challenge...
Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing
arXiv:2506.07086v1 Announce Type: new Abstract: Multi-modal affective computing aims to automatically recognize and interpret human...
REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities
arXiv:2503.13102v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have introduced the...
