AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21415v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) have achieved remarkable performance across a wide range of tasks; however, they often inherit social biases from their training data, resulting in biased behavior when processing portraits from different social groups. Existing debiasing approaches typically compare token probabilities between the original and biased generations during decoding, but they are fundamentally limited by their reliance on a single, stereotyped viewpoint and fail to account for the diversity of social perspectives. Inspired by the social science principle that diversity fosters fairness, we propose Counterfactual Ensemble Decoding (CED), a novel framework that constructs multi-group counterfactual p…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21385v1 Announce Type: new Abstract: Social media has become a central arena in which armed conflicts are contested, yet the pro-Israel and pro-Palestine communities on Telegram, whose broadcast architecture yields an unusually direct record of deliberate political communication, have not been systematically compared at scale. This study presents a multi-method computational analysis of 87,617 messages from sixteen Telegram channels, eight pro-Israel and eight pro-Palestine, spanning May 2021 to June 2026 and covering multiple conflict escalations. It combines sentiment analysis, three stance detection methods drawn from distinct paradigms (keyword matching, zero-shot DeBERTa via natural language inference, and a fine-tuned BERTweet model), and a fra…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21384v1 Announce Type: new Abstract: Modern multilingual tokenizers often fragment Ukrainian and other underrepresented Cyrillic-script languages more heavily than English, creating disparities in cost and context capacity. We quantify this overhead across nine production tokenizers and five languages with standardized Cyrillic and Latin representations, covering 8.37 million word forms. On a corpus benchmark, Ukrainian shows 68-121% token overhead on modern tokenizers and 220% on the older cl100k, measured through full-text fertility on the BrUK and Brown corpora. Overhead is negatively associated with Cyrillic vocabulary allocation in the subset with independently verified English baselines, although the association is not statistically significant…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21377v1 Announce Type: new Abstract: Sycophancy in large language models, the tendency to prioritize user agreement over truthful responses, has been documented extensively but studied primarily in single-turn settings. This paper investigates a critical question: does subjecting LLMs to greater interaction scaffolding make sycophancy better or worse? Across 4,800 veracity judgments (200 statements $\times$ 6 models $\times$ 4 conditions), we find that the interaction scaffolding characteristic of agentic systems (feedback loops, reconsideration checkpoints, and iterative refinement) systematically amplifies sycophantic behavior. Multi-turn interaction, user pressure, and iterative self-refinement each provide additional opportunities for models to d…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21376v1 Announce Type: new Abstract: Many NLP tasks require systems to provide attribution in their outputs--i.e. citations to grounding sources. Attribution serves as a bulwark against model hallucination and as a means for users to verify the credibility of model outputs. Yet, it is unclear how humans and LLMs evaluate citations when comparing outputs, a process central to reward modeling and modern LLM post-training. This paper studies the role of citations in the preferences of human judges and four open-source LLMs within the context of scientific question answering, leveraging mixed effects models to investigate the influence of citations on pairwise judgments. Among our key findings are (1) that humans prefer more diverse citations but fewer o…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21369v1 Announce Type: new Abstract: Nigerian Pidgin is one of Africa's most widely spoken languages, yet remains severely underrepresented in language model evaluation. Existing benchmarks primarily focus on translation, transcription, or generic sentiment analysis, leaving critical aspects of culturally grounded language understanding unmeasured. We introduce Wazobia Eval, a benchmark for evaluating Nigerian Pidgin emotion understanding, sarcasm detection, and cultural reasoning. The benchmark is built on a manually annotated dataset containing over 550 examples and a 16-category emotion taxonomy designed to capture culturally specific emotional registers that are not represented in conventional sentiment frameworks. Wazobia Eval provides standardi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21365v1 Announce Type: new Abstract: As a low-resource language, Khmer presents several retrieval challenges, including limited annotated data, ambiguous word boundaries, weak support in multilingual embedding models, and frequent mixed Khmer-English usage. This paper presents KSE-Web, an analysis of hybrid retrieval and LLM-assisted query expansion for Khmer semantic search. We construct the dataset from approximately 17K candidate Khmer titles and retain 3K cleaned full-text Khmer documents after filtering, normalization, deduplication, and document-length control. The dataset includes 300 manually reviewed user-style Khmer search queries and silver relevance labels with partial human verification. We evaluate character n-gram BM25, multilingual de…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21364v1 Announce Type: new Abstract: Both human and AI systems that process narrative or long-form content operate incrementally: input is received over time, and internal representations must be updated accordingly. Incremental interpretation, therefore, depends not only on what is represented but also on how the representational state evolves under new evidence. We distinguish two structurally different update operators that arise in narrative interpretation: revision-driven update and delayed elaboration. Revision-driven updates retract or replace previously committed structure in response to a contradiction and are therefore non-monotonic. Delayed elaboration, by contrast, refines initially underspecified elements through constraint addition with…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21408v1 Announce Type: new Abstract: Due to the widespread accessibility of the internet and social media, toxic and hateful con-tent has grown exponentially, causing significant distress and negative societal impacts. Ro-man Urdu, a low-resource language used in Pakistan and among Urdu-speaking communities worldwide, presents additional challenges because of its informal grammar, inconsistent sen-tence structures, and multiple variations in word spellings. This research aims to identify the most effective techniques for hate speech classification in such low-resource settings with limited data. To address this, the study investigates and compares the latest approaches, in-cluding prompt tuning, parameter-efficient fine-tuning (PEFT) using LoRA, and…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21393v1 Announce Type: new Abstract: Running large language models inside enterprise environments has always bumped up against a practical wall: the data lives in one place, the AI horsepower sits somewhere else, and moving sensitive records between the two creates real headaches around latency, security, and regulatory exposure. IBM's Spyre accelerator PCIe inference card built for LinuxONE and the broader IBM Z family changes that equation. In this paper we lay out a six-subsystem RAG architecture that runs entirely on IBM LinuxONE, using Spyre for generative inference, the Telum II on-chip accelerator for lightweight classification tasks, and Red Hat OpenShift for container orchestration. Every piece of the pipeline from query intake through vecto…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21382v1 Announce Type: new Abstract: Multiple-choice benchmarks fix the questions and the correct answers, but not the harness: the order of the options, the wording of the prompt, and whether a language model's answer is read from generated text or from per-option likelihoods. Work on this harness sensitivity reports it as aggregate score variance, leaving unexamined which items the variance falls on and whether they are the items that separate one model from the next. We treat the evaluation harness of large language models (LLMs) as an independent variable and resolve its effect to single items. We introduce the \textit{fragility grid}: 12 open-weight instruction-tuned LLMs from 4 families answer the same 3{,}679 items from 4 benchmarks (ARC, Hell…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21379v1 Announce Type: new Abstract: Student burnout is highly prevalent in higher education, with reported rates ranging from 12% to over 70% and consistently exceeding those of the working population - yet it is typically identified only retrospectively, after academic decline has already occurred. A contributing factor is that students have little structured visibility into their own study behaviour, and existing productivity tools record activity without interpreting it. This paper presents RIACT (Record, Insight, Analyze, Coach, Track), a web-based application that combines structured study session logging with a hybrid AI architecture to surface personalized insights and early burnout signals. Students log sessions by location and time; the sys…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21375v1 Announce Type: new Abstract: Heterogeneous agentic retrieval-augmented generation (RAG) systems increasingly orchestrate external APIs, internal databases, vector stores, and graph stores. Exposing all tool descriptions to an LLM agent, or selecting tools only by vector similarity, causes two costly failures: over-fetching, which increases payload size, token use, and latency, and under-fetching, which omits fields needed to answer the query. We present SchemaRouter, a lightweight routing layer that represents tools, endpoints, parameters, response fields, domain concepts, units, provenance, and license policies as a schema graph. Given a query, SchemaRouter emits an executable tool plan specifying which tools to call and which fields to retr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21374v1 Announce Type: new Abstract: Literature reviews are essential to scientific progress, but rigorously evaluating automatically generated reviews remains difficult because many aspects of research utility depend on expert judgment rather than reference-overlap metrics. We introduce LitReview Arena, a battle-style evaluation platform with a structured protocol tailored to literature review quality: domain experts with AI paper-writing experience compare anonymized drafts, are matched to topics within their expertise, and provide dimension-wise outcomes over five literature-review-specific criteria. From this protocol, we collect approximately 3k expert judgments, each containing five dimension-wise outcomes, and show that even the strongest curr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21372v1 Announce Type: new Abstract: This report summarizes the work conducted on the Game of Hidden Rules (GOHR), focusing on reinforcement learning agents trained to infer hidden rules from trial-and-error feedback, representation design, rule difficulty analysis, transfer learning, generalization, and pseudo-bot-assisted human learning analysis. The report focuses on the Transformer-based A2C framework, Feature-Centric and Object-Centric representations, experimental findings, and classification of human learning data.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21366v1 Announce Type: new Abstract: Driven by massive amounts of web-scale data, generative AI (GenAI) has achieved remarkable progress, enabling various applications in diverse sectors. The advances of GenAI have actuated practitioners to use AI-synthesized data for training next-generation AI models. Undeniably, using synthetic data has alleviated the increasing stringent demand for data supply. Unfortunately, it also introduces a new critical issue: in a self-consuming cycle between model and data, the model ultimately collapse, raising more trustworthiness concerns to GenAI. In recent years, increasingly more studies have investigated the phenomenon of model collapse (MC) and explored potential solutions to mitigate it. However, the review of th…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21363v1 Announce Type: new Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes. When a runtime releases, blocks, defers, redacts, or escalates an individual output, AIREP records that decision as a single signed object that any party can check offline, independent of the runtime that produced it. A record carries the decision as one of a closed set of verbs under a stated policy basis, references its input, output, and evidence by hash rather than by value, and declares both what its evidence covers and what it does not. Records form a SHA-256 hash chain that binds each record to its position, so that tampering and gaps are detectable by recomputation. Vendor-, model-, and domain-specific content is confi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be recomputed for each request. Existing prefix-caching systems reduce this cost but require prompts to share a leading contiguous prefix, limiting effectiveness when shared content appears at arbitrary positions. We present KVBoost, a chunk-level KV cache reuse system for HuggingFace-compatible decoder models that enables reuse regardless of content position. KVBoost introduces a dual-hash keying scheme that separates positional identity (prefix hash) from content identity (content hash), supporting both exact and approximate cache matches. To address attention boundary errors from independently cached ch…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Published August 24, 2026 | Version v1.0.0 Software Open TsagaansuldNamnansuren/C2H2B6Be-Room-Temperature-Superconductor-Candidate: V1.0.0 Authors/Creators TsagaansuldNamnansuren Description First release Files Tsagaans…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：May 13, 2026 | AI and product innovation Thomson Reuters Standard for High Stakes AI As AI moves from experimentation into everyday professional use, a higher standard is required. Not all AI is used the same way, and i…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：An industry legend starts covering the inevitable!

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Facebook X Pinterest Linkedin ReddIt Email Print Copy URL Hot Chips 2026 IBM Z and LinuxONE Slide 36 Enterprise GenAI IBM took the Hot Chips 2026 stage to detail its future IBM Z and LinuxONE processors and the AI infer…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：You are browsing as a guest. Generating needs an account, so your image and its progress can stay attached to you. Sign in for 20 pixels Made by you. Rendered by everyone. Style Enhance Prompt 1 pixel Live Your generati…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Advertisement Singapore 'Just plain insulting': Sellers on Shopee and TikTok call out auto-generated AI ads that mislead customers In one AI-generated video on Shopee, a book by a Singapore author, which deals with them…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society Today in Focus is on a summer break and will be back with new episodes from 1 September. In the meantime, we are bringing you season one of Black Box, before the launch of season two in early September. This episode was first broadcast on 7 March 2024. For six months, the Guardian journalist Michael Safi has been trying to find out who is behind an AI company that creates deepfakes. These deepfakes are causing havoc around the world, with police and lawmakers baffled about how to deal with them. And in trying to answer one question, he has been left with a bigger one: is AI going to make it impossible to sort fact…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Bulgaria’s State Agency for National Security (DANS) said it located and neutralized a powerful jammer that was suppressing GPS frequencies across Sofia, including at Sofia Airport (SOF), in a joint operation with the C…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Generalist AI Inc., a startup that develops artificial intelligence software for robots, has reportedly raised $200 million in funding. Axios today cited a source as saying that 8VC led the investment. It was reportedly joined by a number of unnamed existing investors. Generalist’s previous $400 million round in June included the participation of Nvidia Corp., […] The post Robotics AI startup Generalist reportedly raises $200M appeared first on SiliconANGLE.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A Russian attack drone that navigated and selected its target without intervention from a human pilot killed three civilians in southeastern Ukraine, according to an investigation published by The New York Times on Augu…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：In the first quarter of 2026, 13.0% of newly written agent skills were in a language other than English, and one quarter later it was 16.3%. That is three points in three months across 255,068 skills, with confidence in…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Guustaaf Damave Aug 20, 2026 Until now, technology has worked as a class equalizer. Almost anyone on the planet is connected to the internet and has instant access to a universe of information. It wasn’t that long ago t…