HuggingFace
A^2E : An End-to-End Agent Auditing Engine
With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploy...
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HuggingFace
Stealing Reasoning Traces from Proprietary LLM APIs
Leading large language model providers now conceal their models' step-by-step reasoning, or chain-of-thought, to prot...
HuggingFace
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interacti...
HuggingFace
Vision-Language Grounding as Bidirectional Concept Correspondence
Vision-language grounding connects language to visual content, yet most existing formulations reduce grounding to a u...
HuggingFace
Ego-OSCAR: Egocentric Open source Stereo CAptuRe System
We present Ego-OSCAR, an open-hardware, low-cost, head-mounted stereo-inertial capture device for egocentric data col...
HuggingFace
WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks
Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment...
HuggingFace
Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss
Small language models are often the only option for deployment under tight latency, cost, and on-premises constraints...
HuggingFace
FATE: Frame-Level Audio-Visual Temporal Embedding
When a dog opens its mouth and barks, humans naturally recognize what the sound is and when it occurs. Building audio...
HuggingFace
When Activation Oracles Learn Not to Read: Concept-Specific Blind Spots in Fine-Tuned Oracles
Activation Oracles (AOs) are language models trained to answer natural-language questions about another model's inter...
HuggingFace
Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle
Once visual content enters an AI pipeline, its owner often retains little technical control over how it is used. Lega...
HuggingFace
Small Foundation Models of Human Cognition and Behaviour
Large language models fine-tuned on human behavioural data have emerged as general-purpose cognitive proxies, but the...
HuggingFace
Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression
Hard prompt compression reduces long-context inference cost by independently scoring tokens, sentences, or chunks and...