3,698 items tracked: 33 reported by two or more outlets, the rest by a single source. Most-corroborated first.
arXiv:2606.30161v2 Announce Type: replace-cross Abstract: Federated Learning (FL) enables multiple clients to collaboratively train machine learning models without sharing their local data.
arXiv:2606.32032v2 Announce Type: replace-cross Abstract: Metacognition is a critical component of intelligence that describes the ability to monitor and regulate one's own cognitive processes.
arXiv:2607.00065v2 Announce Type: replace-cross Abstract: Any-angle path planning extends traditional graph-based path planning by allowing movement between any pair of vertices, rather than being restricted by predefine…
arXiv:2607.01455v4 Announce Type: replace-cross Abstract: Language models learn continuous programs over discrete symbols, with the embedding table and LM-head acting as the read/write interface between them.
arXiv:2607.03926v2 Announce Type: replace-cross Abstract: Synthetic tabular data support use cases like data sharing, model development under access restrictions, and rapid prototyping of analytical workflows.
arXiv:2607.04383v5 Announce Type: replace-cross Abstract: Large Audio-Language Models (LALMs) reason fluently about sound yet struggle to localize precisely when events occur, while classical Sound Event Detection (SED)…
arXiv:2607.06546v2 Announce Type: replace-cross Abstract: Denoising graphs is a fundamental problem in graph learning and the core operation of graph diffusion models.
arXiv:2607.09020v2 Announce Type: replace-cross Abstract: Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately.
arXiv:2607.09316v2 Announce Type: replace-cross Abstract: Thematic indexing -- the practice of assigning structured conceptual labels to sections of text -- is essential to scholarly access in large-scale literary and hi…
arXiv:2607.10201v2 Announce Type: replace-cross Abstract: Equitable renewable-energy planning is a sequential decision problem, but the decision variables available to a public planner differ sharply between mature and e…
arXiv:2607.12723v2 Announce Type: replace-cross Abstract: Container filesystem isolation depends on safely resolving container-controlled paths during privileged host-container interactions.
arXiv:2607.18360v2 Announce Type: replace-cross Abstract: GPTZero found 53 NeurIPS 2025 accepted papers with hallucinated citations, and venues now screen submissions with automated reference checkers.
arXiv:2607.19450v4 Announce Type: replace-cross Abstract: Large-scale online reinforcement learning (RL) is the predominant means of eliciting advanced abilities including long-term reasoning and agentic tool use in larg…
arXiv:2607.20803v3 Announce Type: replace-cross Abstract: Controlling combinations of personality-related tendencies is important for adapting large language models to diverse interaction needs.
arXiv:2607.23388v4 Announce Type: replace-cross Abstract: Constrained learning has been increasingly applied to various domains to ensure explicit feasibility requirements due to fairness, safety, robustness, regularizat…
arXiv:2607.23532v3 Announce Type: replace-cross Abstract: Swarms of LLM-assisted autonomous robots are increasingly proposed for cooperative intelligence, surveillance, and reconnaissance (ISR) in contested environments.
arXiv:2608.00123v3 Announce Type: replace-cross Abstract: LLM-native advertising embeds sponsored content directly into model-generated responses, shifting the unit of sale from a fixed slot to a moment within an evolvin…
arXiv:2608.00672v2 Announce Type: replace-cross Abstract: Security Operations Centers (SOCs) process large volumes of security events, requiring analysts to accurately detect and assess ongoing cyberattacks under time pr…
arXiv:2608.02660v3 Announce Type: replace-cross Abstract: Advanced AI assistants engage users in extended interactions across a widening range of roles, including advice, decision support, collaboration, learning, emotio…
arXiv:2608.04193v2 Announce Type: replace-cross Abstract: Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limite…
arXiv:2608.05178v2 Announce Type: replace-cross Abstract: Equitable access to scientific knowledge often depends on informal gatekeeping decisions, particularly when resources such as paywalled articles, nonpublic datase…
arXiv:2608.06614v2 Announce Type: replace-cross Abstract: Large-taxonomy retrieval often assumes that the input already expresses the target concept.
arXiv:2608.07079v2 Announce Type: replace-cross Abstract: Object-goal navigation has made substantial progress in semantic perception and exploration, yet persistent memory for multi-object navigation and cross-floor nav…
arXiv:2608.07208v2 Announce Type: replace-cross Abstract: Recent work shows that Large Language Models (LLMs) encode more information in their activations than they show in their responses.
arXiv:2608.07531v4 Announce Type: replace-cross Abstract: Search-augmented language agents should retrieve external information only when necessary and ground their answers in retrieved evidence.
arXiv:2608.11242v2 Announce Type: replace-cross Abstract: When the context window is under pressure, LLM systems compact prior context to continue ongoing tasks.
arXiv:2608.11947v2 Announce Type: replace-cross Abstract: Multiple-choice question (MCQ) benchmarks are widely used to evaluate large language models, yet a single reported accuracy number is not enough to distinguish a…
arXiv:2608.14094v2 Announce Type: replace-cross Abstract: Cloud-local LLM inference can use the reasoning capability of large cloud models, but cloud-bound requests must exclude personally identifiable information (PII).
arXiv:2608.14606v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations mostly ask whether individual answers look plausible.
arXiv:2608.16539v2 Announce Type: replace-cross Abstract: Large Audio Language Models (LALMs) have made rapid progress on standardized benchmarks, yet their deployment in practical media workflows, curation, archival ind…
arXiv:2608.18779v2 Announce Type: replace-cross Abstract: Semantic ID tokenizers assign code sequences to catalog items, which generative recommenders predict and resolve back to items.
arXiv:2608.28837v2 Announce Type: replace-cross Abstract: We conducted an interview study with twelve students on their use of generative AI in academic communication.
arXiv:2609.01507v3 Announce Type: replace-cross Abstract: Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model.
arXiv:2609.02085v2 Announce Type: replace-cross Abstract: We present TropicalCycloneNext (TC-Next), a multimodal deep learning model that forecasts tropical cyclone track and intensity at $6-24$h leads by leveraging a fo…
arXiv:2609.05742v2 Announce Type: replace-cross Abstract: American Sign Language (ASL) generation remains challenging due to limited paired text-ASL motion data and the difficulty of learning motion representations both…
arXiv:2609.07629v2 Announce Type: replace-cross Abstract: Democratizing access to the knowledge held in large corpora of tables such as data lakes is emerging as a central research challenge.
arXiv:2609.08339v2 Announce Type: replace-cross Abstract: Bimanual manipulation policies require large and diverse training datasets, yet collecting demonstrations on physical robots is expensive and difficult to scale.
arXiv:2609.09090v2 Announce Type: replace-cross Abstract: Large language models (LLMs) may abandon correct positions when users push back, exhibiting a failure mode known as sycophancy.
arXiv:2609.15383v2 Announce Type: replace-cross Abstract: Language model safety is typically evaluated one interaction at a time.
The Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) in the Office of the Director (OD), National Institutes of Health (NIH) is seeking public comment regarding its proposal to establish the…
Code-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora.
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation.
Does pasting the contents from skills files and project working files into a prompt, in front of the question (making the prompt very long), have the same effect as configuring the IDE to include those resources as "cont…
AI-powered knowledge management systems face a fundamental challenge when businesses need accurate answers rather than plausible ones.
Chatbot prompts reveal the engineer’s alleged efforts to set up a covert listening device days before one was found in a meeting room used by high-level executives.
Cerebras CEO Andrew Feldman predicts a future where personal AI assistants become as commonplace as household appliances, running partly on local devices and partly in the cloud.
AI dominates the translation business, but for high-stakes work, humans are still needed.