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Oct 13 · Tuesday
Reward hacking · Papers
Found 5 papersShow that reward hacking can propagate through code, memory, and plans in multi-agent coding systems
- Published
- Evaluated models
- Qwen2.5-Coder-14B, Gemma-3-12B, Qwen2.5-Coder-7B and others16
AbstractThe authors state that reward hacking can spread across models and affect routing and aggregation, and that review can reduce delivery.
Reward hacking induced by coding RL can leave the source agent and enter subsequent collaboration and system coordination.
提出 TESTJACK,动态审计编码基准通过判定是否满足任务要求
- Published
- Evaluated models
- Claude Opus 4.6, Claude Opus 4.7, Claude Opus 4.8 and others7
用犯罪学框架测试编码智能体压力下的奖励作弊与言行脱节
- Published
- Evaluated models
- Claude Opus 5.5, Claude Sonnet 5.5, GPT-5.6 Sol and others7
Abstract从犯罪学视角揭示 AI 奖励作弊规律,发现言行脱节且规范澄清能消除违规。
发布 SWE-Bench Pro Verified,隔离答案通道并修订任务以抑制奖励破解
- Published
- Evaluated models
- GPT-5.6-Sol, Kimi-K3, GLM-5.3 and others7
提出 HVTB,在终端编程任务植入蜜罐以测量奖励作弊
- Published
- Evaluated models
- claude-opus-5, gpt-5.6-sol, gemini-3.1-pro and others5
Abstract用蜜罐测量终端任务上的 reward hacking,并比较五档提示词。
HVTB 用来在真实终端与编程任务上测量 reward hacking:智能体读取被植入的参考解答或验收测试,从而偏离任务意图。作者认为这一失败模式会随智能体更自主而更重要,且事后人工或 LLM judge 可能失效。
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