Research papers, read to you in five minutes.
Research papers, read to you in five minutes.

LoopArena isolates the outer "manager" model in coding agents by freezing the Worker and swapping only the Controller that reads evidence and drafts the next instruction. The kicker: a Controller that just restates the goal each round scores 18.52% — identical to no manager at all. State-blind persistence isn't control.

Agents · Aug 28

Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities

Agent quality isn't about smarter planners or more self-critique — it's whether the artifact's representation, edit interface, and verifier granularity line up. Across 230 systems, when any link breaks, agents fall back to whole-artifact regeneration. Precise diagnosis is wasted if your only edit is "regenerate."

Multimodal · Aug 27

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

VLA backbones overfit to whichever action head you pretrain with, so swapping decoders or robots forces retraining. VLAct freezes lower layers and supervises three heads in parallel during continue-pretraining, yielding a backbone that beats full-data baselines on an unseen humanoid using just 20% of trajectories.

Agents · Aug 26

VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction

Voice agents can't afford 2-second memory lookups before replying, so this splits memory into a routing index over facts plus a separate persona/affect graph, matching schemas against partial transcripts during VAD silence. Hits 91.2 on LoCoMo with 430 tokens in 134ms, versus baselines needing 1,899 tokens.

Agents · Aug 21

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

When your single ReAct loop stops scaling, the instinct is a smarter agent; this survey argues the bottleneck is organization, not intelligence. It reframes multi-agent design as Graph Engineering: making task DAGs, agent capabilities, and runtime state explicit objects the runtime schedules, checkpoints, and rolls back on.

Never fall behind the literature again.

Free account. Follow topics, build your queue.

Sign up free

Agents · Aug 28

LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering

LoopArena isolates the outer "manager" model in coding agents by freezing the Worker and swapping only the Controller that reads evidence and drafts the next instruction. The kicker: a Controller that just restates the goal each round scores 18.52% — identical to no manager at all. State-blind persistence isn't control.

Agents · Aug 28

Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities

Agent quality isn't about smarter planners or more self-critique — it's whether the artifact's representation, edit interface, and verifier granularity line up. Across 230 systems, when any link breaks, agents fall back to whole-artifact regeneration. Precise diagnosis is wasted if your only edit is "regenerate."

Multimodal · Aug 27

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

VLA backbones overfit to whichever action head you pretrain with, so swapping decoders or robots forces retraining. VLAct freezes lower layers and supervises three heads in parallel during continue-pretraining, yielding a backbone that beats full-data baselines on an unseen humanoid using just 20% of trajectories.

Agents · Aug 26

VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction

Voice agents can't afford 2-second memory lookups before replying, so this splits memory into a routing index over facts plus a separate persona/affect graph, matching schemas against partial transcripts during VAD silence. Hits 91.2 on LoCoMo with 430 tokens in 134ms, versus baselines needing 1,899 tokens.

Agents · Aug 21

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

When your single ReAct loop stops scaling, the instinct is a smarter agent; this survey argues the bottleneck is organization, not intelligence. It reframes multi-agent design as Graph Engineering: making task DAGs, agent capabilities, and runtime state explicit objects the runtime schedules, checkpoints, and rolls back on.

Never fall behind the literature again.

Free account. Follow topics, build your queue.

Sign up free

Browse topics

Mechanistic Interpretability 6

Research papers, read to you in five minutes.Research papers, read to you in five minutes.

Research papers, read to you in five minutes.
Research papers, read to you in five minutes.