TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training
cs.CL
Submitted: 2026-10-04
Updated: 2026-10-04
Project page: https://maria-antoniak.github.io/resources/2024_colm_trust_
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- gpt-oss-120b & gpt-oss-20b Model Card
- MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
- Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
- SWE-Universe: Scale Real-World Verifiable Environments to Millions
- FullStack Bench: Evaluating LLMs as Full Stack Coders
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
- NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents
- LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
- NExtLong: Toward Effective Long-Context Training without Long Documents
- Measuring Massive Multitask Language Understanding
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering
- TACO: Topics in Algorithmic COde generation dataset
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
- Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
- CorpusQA: A 10 Million Token Benchmark for Corpus-Level Analysis and Reasoning
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