Tootfinder

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/9]:
- DRES: Benchmarking LLMs for Disfluency Removal
Teleki, Janjur, Liu, Grabner, Verma, Docog, Dong, Shi, Wang, Birkelbach, Kim, Zhang, Caverlee

DRES: Benchmarking LLMs for Disfluency Removal
Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
https://arxiv.org/abs/2509.20321

DRES: Benchmarking LLMs for Disfluency Removal
Disfluencies -- such as "um," "uh," interjections, parentheticals, and edited statements -- remain a persistent challenge for speech-driven systems, degrading accuracy in command interpretation, summarization, and conversational agents. We introduce DRES (Disfluency Removal Evaluation Suite), a controlled text-level benchmark that establishes a reproducible semantic upper bound for this task. DRES builds on human-annotated Switchboard transcripts, isolating disfluency removal from ASR errors an…

theredneckpoppa2: Charlie Kirk wasn't killed by some random amateur, nor was it likely the "radical left" they will be blaming.
Give your best guess who it was
https://www.instagram.com/reel/DOco5m6jowE/

Z-Scores: A Metric for Linguistically Assessing Disfluency Removal
Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
https://arxiv.org/abs/2509.20319

Z-Scores: A Metric for Linguistically Assessing Disfluency Removal
Evaluating disfluency removal in speech requires more than aggregate token-level scores. Traditional word-based metrics such as precision, recall, and F1 (E-Scores) capture overall performance but cannot reveal why models succeed or fail. We introduce Z-Scores, a span-level linguistically-grounded evaluation metric that categorizes system behavior across distinct disfluency types (EDITED, INTJ, PRN). Our deterministic alignment module enables robust mapping between generated text and disfluent …

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/9]:
- DRES: Benchmarking LLMs for Disfluency Removal
Teleki, Janjur, Liu, Grabner, Verma, Docog, Dong, Shi, Wang, Birkelbach, Kim, Zhang, Caverlee