Engineering
WikiSkill: Co-Evolving Agent Skills with a Persistent Knowledge Base
WikiSkill is a framework that co-evolves an LLM agent’s reusable skill library alongside a persistent wiki-style knowledge base, separating raw…
Engineering
CaSKG: Counterfactual-Causal Skill Graphs for Agent Skill Retrieval
CaSKG is a retrieval framework that calibrates the reliability of a skill graph’s edges before using it to retrieve procedural…
Engineering
What Does an Evaluation License? A Reproducibility Audit of Inspect Evals
This paper formalizes what is required to legitimately ‘replay’ a claim attached to an LLM evaluation metric, then applies that…
Engineering
VoiceMem: Streaming Dual-Brain Memory for Real-Time Speech Agents
VoiceMem is a memory architecture for duplex speech language models built around a parallel ‘informational left brain’ and ’emotional right…
Engineering
FrontierChallenge: A Benchmark for End-to-End Scientific Agent Workflows
FrontierChallenge is a new cross-domain benchmark of 300 end-to-end scientific workflows spanning quantum chemistry, molecular dynamics, materials science, and other…
Engineering
WarpSAC: Regime-Aware Off-Policy Reinforcement Learning for Massively Parallel Simulation
This paper shows that common off-policy RL stabilizers behave differently depending on data regime: parameter normalization helps under narrow replay…
Engineering
JIT-Agent: Just-in-Time Synthesis of Agent Harnesses
JIT-Agent is a harness intelligence model that generates task-adaptive agent harnesses on the fly for arbitrary off-the-shelf LLMs, formalizing the…
Engineering
D3-MOPD: Dynamic Domain Scheduling for Multi-Teacher Distillation
D3-MOPD is a zero-overhead scheduler for multi-teacher on-policy distillation that adjusts per-domain training mixture ratios online, reusing the reverse-KL signal…
Engineering
Agent-G2: Gaussian Guidance for Hint-Based Agentic Reinforcement Learning
Agent-G2 addresses reward sparsity in long-horizon agentic RL by replacing the common practice of treating expert-trajectory guidance depth as a…
Engineering
Code World Model: A Coding Agent as the Brain of a Video World Model
Code World Model separates world-state evolution from visual rendering by using a coding agent to reason about events and consequences…
Engineering
Is Next-Chunk Reasoning RL Really Better Than SFT on No-CoT Data?
This paper runs a controlled comparison of next-chunk reasoning reinforcement learning against a simple alternative called Mixed SFT — a…
Engineering
Open-MOPD: Closing the Capability Integration Gap in Multi-Teacher Distillation
This paper identifies a ‘capability integration gap’ in multi-teacher on-policy distillation, where a controlled benchmark shows standard methods recover only…