[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6a8beab4a8d7583c-rods-improving-multi-turn-tool-use-agents-via-rewa-summary":3,"summaries-facets-categories":98,"summary-related-6a8beab4a8d7583c-rods-improving-multi-turn-tool-use-agents-via-rewa-summary":4977},{"id":4,"title":5,"ai":6,"body":13,"categories":64,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":69,"navigation":81,"path":82,"published_at":83,"question":66,"scraped_at":83,"seo":84,"sitemap":85,"source_id":86,"source_name":87,"source_type":88,"source_url":74,"stem":89,"tags":90,"thumbnail_url":66,"tldr":95,"tweet":66,"unknown_tags":96,"__hash__":97},"summaries\u002Fsummaries\u002F6a8beab4a8d7583c-rods-improving-multi-turn-tool-use-agents-via-rewa-summary.md","RODS: Improving Multi-Turn Tool-Use Agents via Reward-Driven Synthesis",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4080,481,3112,0.0017415,{"type":14,"value":15,"toc":58},"minimark",[16,21,25,29,32,55],[17,18,20],"h2",{"id":19},"the-challenge-of-multi-turn-tool-use","The Challenge of Multi-Turn Tool Use",[22,23,24],"p",{},"Training agents to perform complex, multi-turn tasks remains difficult due to the lack of high-quality, diverse, and long-horizon interaction data. Most existing datasets focus on single-turn requests or simple tool calls, failing to capture the nuances of iterative reasoning, error recovery, and multi-step planning required for real-world agentic workflows.",[17,26,28],{"id":27},"the-rods-framework","The RODS Framework",[22,30,31],{},"RODS (Reward-Driven Online Data Synthesis) addresses this by automating the creation of synthetic training trajectories. Instead of relying on static datasets, the framework uses an iterative process to generate, evaluate, and refine tool-use interactions.",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Iterative Generation:"," The system prompts a base model to generate multi-turn tool-use trajectories based on complex task prompts.",[36,44,45,48],{},[39,46,47],{},"Reward-Driven Filtering:"," A reward model evaluates these trajectories based on success criteria, such as task completion, tool call accuracy, and logical flow. Only trajectories that meet high reward thresholds are retained for training.",[36,50,51,54],{},[39,52,53],{},"Online Refinement:"," By continuously updating the model with these high-reward synthetic samples, the agent learns to better navigate complex tool-use environments, effectively 'learning from its own successes' to improve performance on subsequent, more difficult tasks.",[22,56,57],{},"This approach shifts the burden from manual data collection to algorithmic synthesis, allowing developers to scale training data for specific toolsets without needing massive human-annotated datasets. The framework demonstrates that reward-driven filtering is essential for maintaining data quality, as raw synthetic data often contains hallucinations or invalid tool calls that can degrade agent performance if included in training sets.",{"title":59,"searchDepth":60,"depth":60,"links":61},"",2,[62,63],{"id":19,"depth":60,"text":20},{"id":27,"depth":60,"text":28},[65],"AI & LLMs",null,"md",false,{"content_references":70,"triage":76},[71],{"type":72,"title":73,"url":74,"context":75},"paper","RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.19047","reviewed",{"relevance":77,"novelty":78,"quality":78,"actionability":78,"composite":79,"reasoning":80},5,4,4.35,"Category: AI & LLMs. The article presents a novel framework (RODS) that addresses a specific pain point in AI product development: the scarcity of high-quality training data for multi-turn tool-use agents. It provides actionable insights into how developers can automate data synthesis, which is directly applicable to building AI-powered products.",true,"\u002Fsummaries\u002F6a8beab4a8d7583c-rods-improving-multi-turn-tool-use-agents-via-rewa-summary","2026-06-18 12:57:01",{"title":5,"description":59},{"loc":82},"6a8beab4a8d7583c","arXiv cs.AI","article","summaries\u002F6a8beab4a8d7583c-rods-improving-multi-turn-tool-use-agents-via-rewa-summary",[91,92,93,94],"llm","agents","machine-learning","ai-tools","RODS (Reward-Driven Online Data Synthesis) improves multi-turn tool-use agents by generating high-quality synthetic training data through iterative reward-based filtering, addressing the scarcity of complex, multi-step interaction 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To overcome the dilution of learning signals in multi-environment RL, NVIDIA introduced Multi-teacher On-Policy Distillation (MOPD). In this process, the student model generates rollouts that are scored by over ten domain-specialized teacher models, providing dense, token-level guidance. The model also supports inference-time budget control, allowing users to trade roughly 7% accuracy for a 2.5x reduction in token usage via a \"medium-effort\" mode.",[17,5003,5005],{"id":5004},"deployment-and-performance","Deployment and Performance",[22,5007,5008],{},"NVIDIA released the model as a single NVFP4 checkpoint, operating at 5.03 bits-per-element. This quantization strategy allows the model to fit on a single 8-GPU H100 node, whereas an FP8 checkpoint would require multi-node scaling. Performance benchmarks show the model is highly competitive in agentic tasks, achieving 71.9 on SWE-Bench Verified and 94.7 on RULER at 1 million tokens. While it trails some models in prefill-heavy workloads, it demonstrates up to 5.9x higher throughput than comparable models like GLM-5.1 in decode-heavy scenarios when using TRT-LLM.",{"title":59,"searchDepth":60,"depth":60,"links":5010},[5011,5012,5013],{"id":4990,"depth":60,"text":4991},{"id":4997,"depth":60,"text":4998},{"id":5004,"depth":60,"text":5005},[65],{"content_references":5016,"triage":5026},[5017,5022],{"type":5018,"title":5019,"url":5020,"context":5021},"tool","NVIDIA Nemotron 3 Ultra 550B","https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002FNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16","mentioned",{"type":5023,"title":5024,"url":5025,"context":5021},"other","NVIDIA-Nemotron-3-Ultra-Technical-Report","https:\u002F\u002Fresearch.nvidia.com\u002Flabs\u002Fnemotron\u002Ffiles\u002FNVIDIA-Nemotron-3-Ultra-Technical-Report.pdf",{"relevance":5027,"novelty":5027,"quality":78,"actionability":60,"composite":5028,"reasoning":5029},3,3.05,"Category: AI & LLMs. The article discusses NVIDIA's new model, which maps to the AI & LLMs category, but it primarily focuses on technical specifications and performance metrics without providing actionable insights for product builders. While it presents some new architectural details, it lacks practical applications or frameworks that the audience can implement.","\u002Fsummaries\u002Fb79a511ace5e4032-nvidia-s-nemotron-3-ultra-a-550b-hybrid-mamba-tran-summary","2026-06-06 16:11:51",{"title":4980,"description":59},{"loc":5030},"b79a511ace5e4032","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F04\u002Fnvidia-ai-releases-nemotron-3-ultra-an-open-550b-mixture-of-experts-hybrid-mamba-transformer-for-long-running-agents\u002F","summaries\u002Fb79a511ace5e4032-nvidia-s-nemotron-3-ultra-a-550b-hybrid-mamba-tran-summary",[91,92,94,93],"NVIDIA's Nemotron 3 Ultra is a 550B parameter Mixture-of-Experts model using a hybrid Mamba-Attention architecture designed to optimize inference speed and cost for long-running, agentic AI workflows.",[],"XVUffCxoRaQZOxCs427XwNWM5onCHWIlo2Qld7M2HCA",{"id":5043,"title":5044,"ai":5045,"body":5050,"categories":5131,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":5132,"navigation":81,"path":5141,"published_at":5142,"question":66,"scraped_at":5143,"seo":5144,"sitemap":5145,"source_id":5146,"source_name":5147,"source_type":5148,"source_url":5149,"stem":5150,"tags":5151,"thumbnail_url":5152,"tldr":5153,"tweet":5154,"unknown_tags":5155,"__hash__":5156},"summaries\u002Fsummaries\u002F5bf2eeff13087593-test-time-compute-scaling-ai-performance-through-d-summary.md","Test Time Compute: Scaling AI Performance Through Deliberate Thinking",{"provider":7,"model":8,"input_tokens":5046,"output_tokens":5047,"processing_time_ms":5048,"cost_usd":5049},5415,738,3605,0.00246075,{"type":14,"value":5051,"toc":5125},[5052,5056,5059,5067,5071,5074,5094,5098,5101,5104,5118,5122],[17,5053,5055],{"id":5054},"the-shift-from-train-time-to-test-time-compute","The Shift from Train-Time to Test-Time Compute",[22,5057,5058],{},"Traditional LLM development relies on \"train-time compute,\" where massive resources are invested once to freeze model weights. This approach forces every query—whether simple or complex—through a single, greedy forward pass. Because the model commits to tokens sequentially, it cannot backtrack if it starts down an incorrect path, which is a primary driver of hallucinations.",[22,5060,5061,5062,5066],{},"\"Test-time compute\" introduces a new scaling axis by allowing the model to spend additional compute budget ",[5063,5064,5065],"em",{},"at inference time",". By treating the response generation as a dynamic process rather than a static pass, models can evaluate their own logic before committing to a final answer.",[17,5068,5070],{"id":5069},"mechanisms-for-deliberate-reasoning","Mechanisms for Deliberate Reasoning",[22,5072,5073],{},"Models use three primary techniques to leverage test-time compute:",[33,5075,5076,5082,5088],{},[36,5077,5078,5081],{},[39,5079,5080],{},"Chain of Thought (CoT):"," Models generate \"thinking tokens\"—intermediate steps that act as a scratchpad. This allows the model to explore logic, identify errors, and pivot approaches before outputting the final response.",[36,5083,5084,5087],{},[39,5085,5086],{},"Tree Search:"," Instead of a single path, the model branches into multiple potential reasoning chains. A verifier model scores these branches, allowing the system to select the most promising path before proceeding.",[36,5089,5090,5093],{},[39,5091,5092],{},"Self-Consistency:"," The model generates multiple independent reasoning paths for the same query at a high temperature. It then performs a majority vote on the final answers, using the statistical distribution of its own outputs to increase confidence without needing an external verifier.",[17,5095,5097],{"id":5096},"scaling-laws-and-economic-trade-offs","Scaling Laws and Economic Trade-offs",[22,5099,5100],{},"Research, including findings from Google DeepMind, demonstrates that test-time compute follows its own scaling laws. Performance on reasoning benchmarks improves smoothly as inference compute increases. Notably, smaller models (e.g., 3B parameters) using search strategies can outperform significantly larger models (e.g., 70B parameters) on complex tasks like physics or math.",[22,5102,5103],{},"However, this approach introduces significant trade-offs:",[33,5105,5106,5112],{},[36,5107,5108,5111],{},[39,5109,5110],{},"Latency & Cost:"," Every \"thinking token\" consumes compute, increasing both the time-to-first-token and the operational expense (OPEX) per query.",[36,5113,5114,5117],{},[39,5115,5116],{},"Overthinking:"," Forcing a model to deliberate on simple queries can degrade performance, as the model may \"talk itself out\" of a correct answer.",[17,5119,5121],{"id":5120},"adaptive-inference-strategies","Adaptive Inference Strategies",[22,5123,5124],{},"To balance these trade-offs, modern systems employ adaptive routing. Rather than applying heavy reasoning to every request, systems use a \"picker\" to categorize incoming queries. Simple prompts are routed to fast, single-pass models, while complex, reasoning-heavy tasks are directed to the full test-time compute pipeline. This strategy optimizes the balance between accuracy, speed, and cost.",{"title":59,"searchDepth":60,"depth":60,"links":5126},[5127,5128,5129,5130],{"id":5054,"depth":60,"text":5055},{"id":5069,"depth":60,"text":5070},{"id":5096,"depth":60,"text":5097},{"id":5120,"depth":60,"text":5121},[65],{"content_references":5133,"triage":5138},[5134],{"type":72,"title":5135,"author":5136,"context":5137},"Scaling Test-Time Compute","Google DeepMind","cited",{"relevance":77,"novelty":78,"quality":78,"actionability":5027,"composite":5139,"reasoning":5140},4.15,"Category: AI & LLMs. The article discusses a novel approach to AI performance by shifting focus from training to inference, addressing a key pain point of hallucinations in LLMs. It provides specific techniques like Chain of Thought and Tree Search, which are actionable but may require further detail for immediate implementation.","\u002Fsummaries\u002F5bf2eeff13087593-test-time-compute-scaling-ai-performance-through-d-summary","2026-06-01 11:00:01","2026-06-06 16:09:25",{"title":5044,"description":59},{"loc":5141},"5bf2eeff13087593","IBM Technology","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=DAlC8mL5ZlI","summaries\u002F5bf2eeff13087593-test-time-compute-scaling-ai-performance-through-d-summary",[91,94,93,92],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FDAlC8mL5ZlI\u002Fhqdefault.jpg","Test time compute shifts AI scaling from training-only investment to inference-time reasoning, allowing models to trade latency and cost for significantly higher accuracy on complex tasks.","A high-level overview of how \"test-time compute\" functions in modern LLMs, explaining the mechanics of chain-of-thought, tree search, and self-consistency. It frames these techniques as a trade-off between inference latency and accuracy, rather than a fundamental change in model intelligence.",[],"txdw8KgLSevDoCd_jZvPF2jimb85MU8R7s4ryjvcTrw",{"id":5158,"title":5159,"ai":5160,"body":5166,"categories":5214,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":5215,"navigation":81,"path":5226,"published_at":5227,"question":66,"scraped_at":5228,"seo":5229,"sitemap":5230,"source_id":5231,"source_name":5035,"source_type":88,"source_url":5232,"stem":5233,"tags":5234,"thumbnail_url":66,"tldr":5235,"tweet":66,"unknown_tags":5236,"__hash__":5237},"summaries\u002Fsummaries\u002F6c2eb2eece11021b-interaction-models-native-real-time-multimodal-ai-summary.md","Interaction Models: Native Real-Time Multimodal AI",{"provider":7,"model":5161,"input_tokens":5162,"output_tokens":5163,"processing_time_ms":5164,"cost_usd":5165},"x-ai\u002Fgrok-4.1-fast",8784,1725,23620,0.00211245,{"type":14,"value":5167,"toc":5208},[5168,5172,5175,5178,5182,5185,5188,5191,5195,5198,5201,5205],[17,5169,5171],{"id":5170},"turn-based-ai-harnesses-limit-collaborationnative-interactivity-scales-better","Turn-Based AI Harnesses Limit Collaboration—Native Interactivity Scales Better",[22,5173,5174],{},"Current AI relies on turn-based loops where models process complete inputs before responding, freezing perception during generation or user input. This narrow channel blocks rich cues like mid-sentence pauses, visual changes, or unstated intent. Workarounds like voice-activity detection (VAD) use less intelligent components, preventing proactive reactions or simultaneous speech\u002Flistening.",[22,5176,5177],{},"Interaction models fix this by baking continuous interactivity into the model core, following the 'bitter lesson': general capabilities outpace hand-crafted systems. A 276B parameter Mixture-of-Experts (MoE) model with 12B active parameters (TML-Interaction-Small) processes audio\u002Fvideo\u002Ftext in parallel streams, reacting visually without prompts (e.g., counting pushups on camera) or interjecting verbally mid-sentence.",[17,5179,5181],{"id":5180},"dual-model-micro-turns-enable-seamless-real-time-flow","Dual-Model Micro-Turns Enable Seamless Real-Time Flow",[22,5183,5184],{},"Split workload: an always-on interaction model handles live conversation (interruptions, backchanneling) via time-aligned 200ms chunks of input\u002Foutput interleaving. For deep tasks (tool calls, web search), it delegates full conversation context to a background model, interleaving streaming results without abrupt switches—like a colleague passing notes mid-chat.",[22,5186,5187],{},"Multimodality uses encoder-free early fusion: audio as dMel via lightweight embeddings, video as 40x40 patches via hMLP, output via flow head—all co-trained with the transformer, skipping heavy pretrained encoders like Whisper. Inference optimizes via streaming sessions (upstreamed to SGLang) appending chunks to persistent GPU sequences, plus gather+gemv MoE kernels for low-latency bidirectional serving.",[22,5189,5190],{},"This yields built-in capabilities: simultaneous speech (e.g., live translation), time-aware initiation (speak at specified times), concurrent tools\u002FUI generation, and visual proactivity (flag code bugs on-screen).",[17,5192,5194],{"id":5193},"leads-benchmarks-on-interaction-and-proactive-tasks","Leads Benchmarks on Interaction and Proactive Tasks",[22,5196,5197],{},"TML-Interaction-Small tops instant models: 43.4% Audio MultiChallenge APR (vs. GPT-realtime-2.0 minimal 37.6%, Gemini-3.1-flash-live-preview minimal 26.8%); 77.8 average FD-bench v1.5 interaction quality (vs. Gemini 54.3, GPT-realtime-2.0 xhigh 47.8); 0.40s FD-bench v1 turn latency (vs. Gemini 0.57s); 82.8% FD-bench v3 response quality \u002F 68.0% Pass@1 with background agent.",[22,5199,5200],{},"New benchmarks expose gaps in rivals (near-zero scores): TimeSpeak 64.7 macro-accuracy (vs. GPT 4.3); CueSpeak 81.7 (vs. 2.9); RepCount-A 35.4 off-by-one visual counting (vs. 1.3); ProactiveVideoQA 33.5 PAUC@0.5 (vs. 25.0 baseline); Charades 32.4 mIoU temporal localization (vs. 0).",[17,5202,5204],{"id":5203},"preview-access-and-trade-offs-for-builders","Preview Access and Trade-offs for Builders",[22,5206,5207],{},"Limited research preview via thinkingmachines.ai (apply for access, grants for benchmarks). Not production-ready: long sessions bloat context, needs reliable networks for 200ms streams, larger models pending for 2026. Safety at 99.0% Harmbench refusal. Use for human-AI collaboration research; contribute benchmarks to advance interactivity evals.",{"title":59,"searchDepth":60,"depth":60,"links":5209},[5210,5211,5212,5213],{"id":5170,"depth":60,"text":5171},{"id":5180,"depth":60,"text":5181},{"id":5193,"depth":60,"text":5194},{"id":5203,"depth":60,"text":5204},[65],{"content_references":5216,"triage":5223},[5217,5221],{"type":5023,"title":5218,"author":5219,"url":5220,"context":5137},"Interaction Models: A Scalable Approach to Human-AI Collaboration","Thinking Machines Lab","https:\u002F\u002Fthinkingmachines.ai\u002Fblog\u002Finteraction-models",{"type":5018,"title":5222,"context":5021},"SGLang",{"relevance":78,"novelty":78,"quality":78,"actionability":5027,"composite":5224,"reasoning":5225},3.8,"Category: AI & LLMs. The article discusses a new multimodal architecture for AI interaction that addresses specific pain points in real-time collaboration, which is relevant for product builders looking to implement advanced AI features. It provides insights into the architecture and capabilities of the model, but lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F6c2eb2eece11021b-interaction-models-native-real-time-multimodal-ai-summary","2026-05-13 09:21:33","2026-05-13 12:00:59",{"title":5159,"description":59},{"loc":5226},"6c2eb2eece11021b","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F13\u002Fmira-muratis-thinking-machines-lab-introduces-interaction-models-a-native-multimodal-architecture-for-real-time-human-ai-collaboration\u002F","summaries\u002F6c2eb2eece11021b-interaction-models-native-real-time-multimodal-ai-summary",[91,92,93,94],"Replace turn-based AI harnesses with native interaction models using 200ms micro-turns for continuous audio\u002Fvideo\u002Ftext processing, enabling proactive visuals and simultaneous speech—outperforming GPT\u002FGemini on interaction benchmarks.",[],"AB2iaquzS9UNQFE4PW3WBPMTwJM_Ph0FMAxrhcBhsCg",{"id":5239,"title":5240,"ai":5241,"body":5246,"categories":5290,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":5291,"navigation":81,"path":5298,"published_at":5299,"question":66,"scraped_at":5299,"seo":5300,"sitemap":5301,"source_id":5302,"source_name":87,"source_type":88,"source_url":5295,"stem":5303,"tags":5304,"thumbnail_url":66,"tldr":5305,"tweet":66,"unknown_tags":5306,"__hash__":5307},"summaries\u002Fsummaries\u002F195d89ae5bcccbcb-seagym-a-benchmark-for-self-evolving-llm-agents-summary.md","SEAGym: A Benchmark for Self-Evolving LLM Agents",{"provider":7,"model":8,"input_tokens":5242,"output_tokens":5243,"processing_time_ms":5244,"cost_usd":5245},4051,495,2963,0.00175525,{"type":14,"value":5247,"toc":5286},[5248,5252,5255,5259,5262,5283],[17,5249,5251],{"id":5250},"standardizing-self-evolution-in-ai-agents","Standardizing Self-Evolution in AI Agents",[22,5253,5254],{},"As LLM agents move from static execution to autonomous improvement, the field lacks a unified framework for benchmarking how well these systems can 'self-evolve.' SEAGym addresses this by providing an evaluation environment specifically designed to test an agent's capacity to iterate on its own code, prompts, or strategies. The environment treats self-evolution as a continuous process, measuring not just the final output, but the efficacy of the agent's internal feedback loops and iterative refinement cycles.",[17,5256,5258],{"id":5257},"measuring-autonomous-improvement","Measuring Autonomous Improvement",[22,5260,5261],{},"SEAGym focuses on three core dimensions of agentic evolution:",[5263,5264,5265,5271,5277],"ol",{},[36,5266,5267,5270],{},[39,5268,5269],{},"Feedback Integration:"," How effectively an agent incorporates external environment signals or internal performance metrics to adjust its behavior.",[36,5272,5273,5276],{},[39,5274,5275],{},"Iterative Refinement:"," The ability of an agent to modify its own operational parameters (such as system prompts or tool-use logic) to increase success rates on subsequent attempts.",[36,5278,5279,5282],{},[39,5280,5281],{},"Stability and Safety:"," Ensuring that as agents evolve, they do not degrade in performance or drift into unsafe operational states.",[22,5284,5285],{},"By providing a controlled sandbox, SEAGym allows researchers to compare different self-evolution strategies—such as reinforcement learning from AI feedback (RLAIF) versus direct prompt-based self-correction—in a consistent, reproducible manner. This is a critical step for moving beyond 'one-shot' agent performance toward systems that can adapt to novel tasks without human intervention.",{"title":59,"searchDepth":60,"depth":60,"links":5287},[5288,5289],{"id":5250,"depth":60,"text":5251},{"id":5257,"depth":60,"text":5258},[65],{"content_references":5292,"triage":5296},[5293],{"type":72,"title":5294,"url":5295,"context":5137},"SEAGym: An Evaluation Environment for Self-Evolving LLM Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.17546",{"relevance":77,"novelty":78,"quality":78,"actionability":5027,"composite":5139,"reasoning":5297},"Category: AI & LLMs. The article discusses SEAGym, a benchmarking tool for self-evolving LLM agents, which directly addresses the audience's interest in AI engineering and model evaluation. It presents new insights into how agents can autonomously improve, which is relevant for developers looking to implement such features.","\u002Fsummaries\u002F195d89ae5bcccbcb-seagym-a-benchmark-for-self-evolving-llm-agents-summary","2026-06-17 12:56:59",{"title":5240,"description":59},{"loc":5298},"195d89ae5bcccbcb","summaries\u002F195d89ae5bcccbcb-seagym-a-benchmark-for-self-evolving-llm-agents-summary",[91,92,93],"SEAGym provides a standardized evaluation environment designed to measure the capabilities of self-evolving LLM agents, focusing on their ability to autonomously improve performance over time.",[],"jMAE6EmZgkuKNrXZtMRZXxHwLWykKvThBGz_W62Ksqg"]