TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
- URL: http://arxiv.org/abs/2605.09929v1
- Date: Mon, 11 May 2026 03:28:21 GMT
- Title: TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
- Abstract summary: We introduce TeleResilienceBench, a benchmark that quantifies reasoning resilience.<n>We evaluate eight models spanning the Qwen3.5, Gemma4, and Nemotron-3 families.<n>Results show that even the strongest model achieves a macro-average CFR of only 29.1%.
- Score: 2.002710796880098
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Deploying large language models in telecommunications requires more than task accuracy. In realistic workflows, a model may inherit partially completed reasoning from a prior step, an upstream agent, or its own earlier generation, and must continue that reasoning even when it is already going wrong. We introduce TeleResilienceBench, a benchmark that quantifies this capability, which we term reasoning resilience, across seven telecom sub-domains drawn from the GSMA Open-Telco LLM suite. Instances are constructed by collecting failures from a weak generator model, truncating the flawed reasoning trace at its midpoint, and asking a target model to continue and correct it. We propose the Correct Flip Rate (CFR) as a direct measure of successful recovery and evaluate eight models spanning the Qwen3.5, Gemma4, and Nemotron-3 families. Our results show that even the strongest model achieves a macro-average CFR of only 29.1%, and scale does not reliably improve resilience within families. Nemotron-3-nano 4b outperforms all Qwen3.5 variants including the 27b model and leads the auxiliary TeleMath numerical evaluation at 23.4% CR%, offering the best resilience-to-cost ratio in the set. A difficulty-stratified analysis further reveals that existing telecom benchmark difficulty labels reflect factual specificity rather than reasoning depth, suggesting that current evaluations measure knowledge coverage more than reasoning ability.
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