最近 7 天
1
次命中
Keyword Tracking
关键词追踪：code agent
这个页面会长期追踪你配置里关心的关键词，并把命中的论文按日期沉淀下来。
最近 30 天
10
次命中
全部历史
11
次命中
近期走势
最近一次命中来自 Terminal and SWE Agents：How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
2026-06-15
0
2026-06-16
0
2026-06-17
0
2026-06-18
0
2026-06-19
0
2026-06-20
0
2026-06-21
0
2026-06-22
0
2026-06-23
0
2026-06-24
0
2026-06-25
0
2026-06-26
1
2026-06-27
0
2026-06-28
0
命中明细
按日期回看匹配到这个关键词的论文标题，并保留来源 feed 信息。
2026-06-26
How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependenc…
2026-06-11
Agents All the Way Down; A Methodology for Building Custom AI Agents from Substrate to Production
Custom AI agents areagents that live inside their own application, talk to their own data and tools, enforce their own security boundaries, and carry their own brand and audit tra…
2026-06-10
AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver Strategies
Numerical solvers for partial differential equations (PDEs) are core computational tools in science and engineering. Building reliable PDE solvers requires not only executable cod…
DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch
As the capabilities of LLM-based code agents continue to advance, their expected role is expanding beyond localized bug fixing in existing codebases toward architecting and implem…
2026-06-05
Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
Existing code-generation benchmarks score a single mapping from a complete prompt to a one-shot output. However, real web development is different. Users seldom write a full spec…
SmellBench: Towards Fine-Grained Evaluation of Code Agents on Refactoring Tasks
Code Agents have achieved remarkable advances in recent years, exhibiting strong capabilities across a wide range of software engineering tasks. However, their misuse often produc…
RAT: RunAnyThing via Fully Automated Environment Configuration
Automating repository-level software engineering tasks is a foundational challenge for autonomous code agents, largely due to the difficulty of configuring executable environments…
2026-06-04
The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
Current AI benchmarks evaluate agents on task execution within human-designed workflows. These evaluations fundamentally fail to measure a critical next-level capability: whether…
2026-06-03
What Makes Interaction Trajectories Effective for Training Terminal Agents?
Stronger code agents are commonly assumed to be superior teachers for post-training, yet this assumption remains poorly disentangled from task difficulty, harness design, and stud…
Cross-Lingual Token Arbitrage: Optimizing Code Agent Context Windows via Local LLM Preprocessing
AI-assisted coding agents are bottlenecked by input-token cost. Two pathologies of raw human input drive much of this overhead: tokenization inefficiency for non-English text and…
2026-05-15
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing
Code agents must both reason over long-horizon repository state and obey strict tool-use protocols. In paired Instruct/Thinking checkpoints, these capabilities are complementary b…