VOLTBench quantifies length volatility in LLM long-form generation; GLoBo, a logits-boosting decoder, increases mean length by 148% and cuts volatility by 69% while preserving quality.
URL https: //aclanthology.org/D19-1331/
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Reproduction confirms PAG boosts generative retrieval effectiveness, but its look-ahead planning signal collapses under intent-preserving typos and query mismatches, reverting performance to unguided decoding.
The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.
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On Stable Long-Form Generation: Benchmarking and Mitigating Length Volatility
VOLTBench quantifies length volatility in LLM long-form generation; GLoBo, a logits-boosting decoder, increases mean length by 148% and cuts volatility by 69% while preserving quality.
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Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval
Reproduction confirms PAG boosts generative retrieval effectiveness, but its look-ahead planning signal collapses under intent-preserving typos and query mismatches, reverting performance to unguided decoding.
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.