Content Identity
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Related Articles from SNS
VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
arXiv:2512.10120v2 Announce Type: replace Abstract: General-purpose audio representations aim to map acoustically variable instances of the same event to nearby points, resolving content identity in a zero-shot setting. Unlike supervised classification benchmarks that measure adaptability via parameter updates, we introduce VocSim, a training-free benchmark probing the intrinsic geometric alignment of frozen embeddings, with no parameters updated and no labels used (a label-free PCA...
Style or Content? Evaluating Style Classifiers with Controlled Content Overlap
Announce Type: new Abstract: Style classifiers can use content cues that correlate with style labels in naturally collected data, yet we lack a systematic way to measure this reliance. We study this problem with a controlled content overlap setup built on parallel Bible translations. Specifically, we define the overlap parameter $\alpha$ as the normalized residual of mutual information between content identity and style label, so that it measures how much content is shared across style...
Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums?
arXiv:2606.00603v2 Announce Type: replace Abstract: LLM agents are increasingly used in moderation-relevant public forum workflows, where their choices to answer, acknowledge, repair, or decline are routinely challenged by users, platforms, and regulators. The same agent often returns different responses on identical content, so any defense based on the agent's behavior cannot be reliably reproduced. The variation is structural.
Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
Announce Type: new Abstract: We present Echo, a proof-of-concept audio system built around a single 25 M-parameter ViT encoder. The encoder is pretrained with a JEPA objective and then specialised by stages to carry speaker identity, phonetic content, and dynamic source routing in the same 512-dimensional latent space, with no per-task fine-tuning at deployment. Light heads handle diarization (ArcFace + VBx) and dynamic source separation (null-target K-set prediction).
X-rated Compliance Theater: An Empirical Evaluation of European Age Verification Systems in Adult Websites
arXiv:2606.08667v1 Announce Type: new Abstract: Age verification is rapidly emerging as a central regulatory instrument for protecting minors online, with several jurisdictions mandating its deployment for access to adult and pornographic content. This regulatory direction raises significant privacy concerns, as it risks binding sensitive content access to identity-related attributes. It also introduces security risks, since age-verification mechanisms are often outsourced to third-party...
TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion
arXiv:2606.07293v1 Announce Type: new Abstract: Speech Emotion Conversion (SEC) aims to transform the emotion of a source utterance into a target emotion while preserving content and speaker identity. SEC on in-the-wild data is challenging due to the non-parallel nature of training data and complex real-world acoustics. Existing fixed-duration approaches either struggle to shift the emotion effectively (high quality, low conversion) or degrade speech naturalness (low quality, high conversion).
SparseX: Efficient Segment-Level KV Cache Sharing for Interleaved LLM Serving
arXiv:2606.01751v1 Announce Type: new Abstract: In long-context LLM serving, the prefill stage often dominates time-to-first-token and computational cost. Although Prefix Cache in vLLM/PagedAttention has been widely used to reuse identical prompt prefixes, repeated content in practical applications frequently appears as non-prefix, cross-request, cross-turn, and cross-agent segments, which makes conventional cache mechanisms insufficient. This paper presents SparseX, a segment-level KV Cache...
SparseX: Efficient Segment-Level KV Cache Sharing for Interleaved LLM Serving
arXiv:2606.01751v2 Announce Type: replace Abstract: In long-context LLM serving, the prefill stage often dominates time-to-first-token and computational cost. Although Prefix Cache in vLLM/PagedAttention has been widely used to reuse identical prompt prefixes, repeated content in practical applications frequently appears as non-prefix, cross-request, cross-turn, and cross-agent segments, which makes conventional cache mechanisms insufficient. This paper presents SparseX, a segment-level KV...
Khalif Tahir Thompson explores identity in 'Beautiful Land'
Khalif Tahir Thompson explores identity in 'Beautiful Land' Culture To display this content from YouTube, you must enable advertisement tracking and audience measurement. One of your browser extensions seems to be blocking the video player from loading. To watch this content, you may need to disable it on this site.
DialDefer: A Framework for Detecting and Mitigating LLM Dialogic Deference
arXiv:2601.10896v2 Announce Type: replace Abstract: LLMs are increasingly used as third-party judges, yet their reliability when evaluating speakers in dialogue remains poorly understood. We show that LLMs judge identical claims differently depending on framing: the same content receives different verdicts when presented as a statement to verify ("Is this statement correct?") versus attributed to a speaker ("Is this speaker correct?"). We call this dialogic deference and introduce DialDefer,...