Actualités
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
arXiv:2505.00703v2 Announce Type: replace-cross Abstract: Recent advancements in large language models have demonstrated how chain-of-thought...
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
arXiv:2512.10430v1 Announce Type: new Abstract: We introduce T-pro 2.0, an open-weight Russian LLM for hybrid...
System Report for CCL25-Eval Task 10: SRAG-MAV for Fine-Grained Chinese Hate Speech Recognition
arXiv:2507.18580v1 Announce Type: new Abstract: This paper presents our system for CCL25-Eval Task 10, addressing...
SynPref-40M and Skywork-Reward-V2: Scalable Human-AI Alignment for State-of-the-Art Reward Models
Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement...
SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model
arXiv:2507.02822v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs) in...
SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in...
SwiftMem: Fast Agentic Memory via Query-aware Indexing
arXiv:2601.08160v1 Announce Type: new Abstract: Agentic memory systems have become critical for enabling LLM agents...
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These...
Surprise Calibration for Better In-Context Learning
arXiv:2506.12796v1 Announce Type: new Abstract: In-context learning (ICL) has emerged as a powerful paradigm for...
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
arXiv:2311.01766v5 Announce Type: replace Abstract: Mis- and disinformation online have become a major societal problem...
Superintelligence: Unlocking the Mysteries of the Future
Imagine a future where machines don’t just outperform humans in specific tasks but fundamentally outthink...
Style Over Story: A Process-Oriented Study of Authorial Creativity in Large Language Models
arXiv:2510.02025v2 Announce Type: replace Abstract: Evaluations of large language models (LLMs)’ creativity have focused primarily...
