Ling and Ring Technical Report 2.6 Efficient and Instantaneous Agentic Intelligence at the Scale of Trillions of Parameters
@_akhaliq
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PlanBench-XL: Evaluation of Long-Horizon Planning of LLM Agents
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PlanBench-XL Evaluation of Long-Horizon Planning of Tool-Using LLM Agents in Large-Scale Tool Ecosystems
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PerceptionDLM: Parallel Region Perception with Multimodal Language Models
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PerceptionDLM
— AK (@_akhaliq) 22 juin 2026
Parallel Region Perception with Multimodal Diffusion Language Models pic.twitter.com/0vZdGaAPoyPerceptionDLM Parallel Region Perception with Multimodal Diffusion Language Models
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S-Agent: Spatial Tools Evoke Reasoning for Spatial Intelligence
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S-Agent
— AK (@_akhaliq) 20 juin 2026
Spatial Tool-Use Elicits Reasoning for Spatial Intelligence pic.twitter.com/sbFDXYe1ZXS-Agent The Use of Spatial Tools Evokes Reasoning for Spatial Intelligence
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GLM-5.2 free on Hugging Face via multiple inference providers for 6 hours
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GLM-5.2 is free on Hugging Face Inference Providers via Zai, Together AI, Novita, Fireworks, DeepInfra for the next 6 hours. Configure it with Pi, opencode, Codex, Claude Code or any coding agent.
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Decentralized Multi-Embodiment Collaboration using One VLA Policy
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CHORUS
— AK (@_akhaliq) 12 juin 2026
Decentralized Multi-Embodiment Collaboration with One VLA Policy pic.twitter.com/QIyWXsMdiLCHORUS Decentralized Multi-Embodiment Collaboration with One VLA Policy
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Standardization of inter-paradigm evaluation for tabular encoders
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TRL-Bench Standardization of representation-level inter-paradigm evaluation for tabular encoders
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement pic.twitter.com/NHDKezxAoY
— AK (@_akhaliq) 11 juin 2026Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Redefining MoE routers by power iteration on manifolds
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Redefining Mixture-of-Experts routers with power iteration on manifolds
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SCAIL-2: End-to-end character animation unification with context conditioning
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SCAIL-2
— AK (@_akhaliq) 10 juin 2026
Unifying Controlled Character Animation with End-to-end In-Context Conditioning pic.twitter.com/bD0lUcHipJSCAIL-2 Unification of controlled character animation with end-to-end context conditioning