Dockerless: Environment-Free Program Verifier for Coding Agents
Paper ā¢ 2606.28436 ā¢ Published ā¢ 109
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Why your LLM agent starts "forgetting" things? š¤Æ
New survey breaks down everything about context compression for long-horizon agents š
- what to compress
- how to compress it
- who decides when
Plus a curated paper collection to go with it ā
š Paper: https://doi.org/10.20944/preprints202605.2065.v1
ā Repo: https://github.com/YerbaPage/Awesome-Agent-Context-Compression
New survey breaks down everything about context compression for long-horizon agents š
- what to compress
- how to compress it
- who decides when
Plus a curated paper collection to go with it ā
š Paper: https://doi.org/10.20944/preprints202605.2065.v1
ā Repo: https://github.com/YerbaPage/Awesome-Agent-Context-Compression
posted an update 29 days ago
Post
5312
Why your LLM agent starts "forgetting" things? š¤Æ
New survey breaks down everything about context compression for long-horizon agents š
- what to compress
- how to compress it
- who decides when
Plus a curated paper collection to go with it ā
š Paper: https://doi.org/10.20944/preprints202605.2065.v1
ā Repo: https://github.com/YerbaPage/Awesome-Agent-Context-Compression
New survey breaks down everything about context compression for long-horizon agents š
- what to compress
- how to compress it
- who decides when
Plus a curated paper collection to go with it ā
š Paper: https://doi.org/10.20944/preprints202605.2065.v1
ā Repo: https://github.com/YerbaPage/Awesome-Agent-Context-Compression
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SWE-Explore: Benchmarking How Coding Agents Explore Repositories
Paper ā¢ 2606.07297 ā¢ Published ā¢ 122
ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction
Paper ā¢ 2604.23813 ā¢ Published
Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing
Paper ā¢ 2605.04733 ā¢ Published
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