HuggingFace
Rethinking the Evaluation of Harness Evolution for Agents
We revisit the evaluation of automatic harness evolution for LLM agents. Existing harness evolution methods use unit ...
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arXiv
Subjective Risk Decomposition: A New View for Uncertainty Quantification
We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axio...
arXiv
Mask-Aware Policy Gradients for Diffusion Language Models
Reinforcement learning has proven effective for improving reasoning in large language models, but extending it to Mas...
arXiv
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems f...
arXiv
MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization
Real repository issues routinely include visual evidence such as screenshots, error dialogs, rendered UI states, and ...
arXiv
Symbal: Detecting Systematic Misalignments in Model-Generated Captions
Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misalign...
arXiv
When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk Space
Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically beni...
arXiv
In-Place Tokenizer Expansion for Pre-trained LLMs
A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflect...
arXiv
AutoSynthesis: An agentic system for automated meta-analysis
Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, ...
arXiv
teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data
Traffic agencies now have access to large volumes of video-derived data for studying safety and congestion. Most of t...
arXiv
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seekin...
arXiv
Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing v...