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Model Releases

llm-anthropic 0.25.1

DGX agent

Release: llm-anthropic 0.25.1 New model: Claude Opus 4.8 (claude-opus-4.8). New -o fast 1 option for fast mode, for organizations with that feature enabled on their account. Default max_tokens for eac

model-releasessimon-willison

28 May 2026

Model Releases

ProgVLA: Progress-Aware Robot Manipulation Skill Learning

DGX agent

arXiv:2605.28231v1 Announce Type: cross Abstract: We present ProgVLA, a compact vision-language-action (VLA) model designed for reliable robot manipulation under tight compute and memory budgets. The

Search: “models”

llm-anthropic 0.25.1

ProgVLA: Progress-Aware Robot Manipulation Skill Learning

SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents

SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling

Tabero: Learning Gentle Manipulation with Closed-Loop Force Feedback from Vision, Touch, and Language

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling

UniMaia: Steering Chess Policies with Language for Human-like Play

When do complex-valued neural networks help? A study of representation, geometry, and optimization

ZipRL: Adaptive Multi-Turn Context Compression with Hindsight Response Replay

A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection

A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration

Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens

ChartAct: A Benchmark for Dynamic Chart Understanding

ConVer: Using Contracts and Loop Invariant Synthesis for Scalable Formal Software Verification

Demystifying Video Reasoning

Entropy Sentinel: Continuous LLM Accuracy Monitoring from Decoding Entropy Traces in STEM

'Give Me BF16 or Give Me Death'? Accuracy-Performance Trade-Offs in LLM Quantization

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training

Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning

PersLitEval: Fine-grained Benchmark and Evaluation of LLMs on Persian Literature Questions

Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation

ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference

Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure

Rethinking the Multilingual Reasoning Gap with Layer Swap

Separating Semantic Competition from Context Length in RAG Reading

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems

Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization

VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes

AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios

BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data

BODHI: Precise OS Kernel Specification Inference

Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference

CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities

CMAP: Cross-Modal Adaptive Prompting for Multi-Domain Task-Incremental Learning

DRInQ: Evaluating Conversational Implicature with Controlled Context Variation

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Efficient DP-SGD for LLMs with Randomized Clipping

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth

FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations

Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap

JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments

Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation

Llamion Technical Report