Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Multimodal models — nothing is hidden. Brief papers first.

All1,924 In brief3 More (on-topic)553 Not relevant1,333 Not assessed19 Older33 Could not confirm19 Blogs with no paper11 All blogs13

Paper	Topic	Relevance
One Model to Loop Them All: Elastic Latent Recurrence for Language Models Presents a training method for latent recurrent language models that avoids performance penalties at single loops while scaling with compute. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals strictly with language modeling architectures without multimodal components.
Reflective Prompt Optimization of a Deep-Research Agent: A Topic-Disjoint, Multi-Seed Protocol for Measuring Transferable Gains and Prompt-Level Overfitting Studies reflective prompt optimization in research agents, demonstrating that gains on held-out tasks can stem from prompt-level memorization. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Works entirely with text prompts and text-based research queries.
Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities Proposes a diagnostic framework to study how language models compress fluid trans-border ethnic identities into rigid nation-state categories. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Examines multilingual text generation rather than multimodal architectures.
GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses exclusively on textual reports and question-answering.
perturber: A Stateless Service for Semantics-Preserving Text Perturbations Presents a stateless service and library providing isolated, semantics-preserving text perturbations for language model robustness testing. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Applies perturbations exclusively to text data.
Activating the Annotator: Operationalising Lived Experience in Data Annotation Tests whether priming annotators with scenario vignettes and micro-narratives improves the operationalization of lived experience in subjective annotation. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses entirely on text annotation tasks without multimodal data.
U4RASD at KnowledgeGraphEval-2026: Ontology-Constrained Encoder and LLM Systems for Arabic Relation Extraction Describes an ontology-constrained ensemble system of encoders and fine-tuned language models for directed Arabic relation extraction. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Processes text inputs exclusively without multimodal elements.
MADS: Multi-Agent Dialog Simulation for Robust Conversational Agents Generates synthetic multi-agent dialogues to benchmark conversational agent robustness against non-cooperative and adversarial user behaviors. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses purely on text dialogue trajectories without multimodal capabilities.
DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language Models Introduces an evaluation benchmark measuring how effectively language models provide supportive responses during self-harm and crisis disclosures. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Evaluates text dialogue exclusively, with no vision, audio, or multimodal components.
Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn Examines methodological and conceptual implications of using large language models and agentic workflows for machine-assisted cultural analytics. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Presents qualitative commentary on text analysis without multimodal model development.
People Making Conversation: Evaluating How Naturally Speech Models Converse Evaluates whether real-time speech models decide to speak appropriately during natural pauses and turn ends in unscripted conversations. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Assesses speech-to-speech audio conversation without evaluating cross-modal visual-text understanding.
Fear Is Not Always Fear: Variation in Emotion Label Equivalence Across Datasets Tests cross-corpus emotion classification transfer across three datasets, finding significant loss in discrimination and conceptual disagreement on labels. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Evaluates unimodal text classifiers rather than vision, audio, or multimodal models.
Unreliable Narrator Framing as a Cost-effective Mechanism for Satire Explanation of Australian and American Satirical News Evaluates whether framing explanations around unreliable narrator theory enables open-weight models to explain satirical news cost-effectively. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Operates exclusively on text articles and does not evaluate multimodal inputs.
Time Delay System for Sequence Modeling Proposes a sequence modeling framework using dynamic nonlinear time delays based on semantic similarity between current and past inputs. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Addresses unimodal sequence modeling without multimodal data.
Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory Presents a temporal memory architecture using hierarchical tree structures to trace evolving multi-party conversational histories for agents. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Pertains to text dialogue memory without multimodal input.
Rethinking the Roles of Diffusion and Decoding: Predictive-State Flows for Parallel Language Generation Proposes separating continuous diffusion language generation into high-level flow-generated predictive states and block-level autoregressive token decoding. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Applies diffusion to discrete text generation, not multimodal data.
SEEDS: Preview-Guided Evidence Admission for Search Agents Introduces a preview-guided admission framework allowing search agents to selectively incorporate retrieved candidates into the ongoing reasoning context. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with textual search evidence without multimodal models.
Forecasting Corpus-Sampling Disagreement in Masked Text Reconstruction Derives a formula to forecast disagreement between masked text reconstruction models fitted on independent samples from the same population. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Concerned with text masked reconstruction rather than multimodal tasks.
Language Models Have Interpretable Narrative Mechanisms Identifies internal attention heads, neurons, and sparse autoencoder features that causally influence narrative representation in language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Examines text-only LLMs without multimodal modalities.
Evaluating LLM Creativity through Long-Tail Performance Formalizes language model creativity evaluation as long-tail input-output distribution performance and tests it across multiple benchmarks and models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Evaluates text language model creativity without multimodal data.
Evo$^2$: Evolving the Evolver through Weight-Harness Co-Evolution Proposes a co-evolution framework that coordinates agent harness prompt modifications with model weight updates using self-generated experience. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with text agent harnesses without multimodal integration.
RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language Models Analyzes quantization error propagation in recurrent-depth language models and proposes adaptive mixed-precision schedules for faster prefill inference. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Applies solely to language model prefill compute, not multimodal inputs.
KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse Develops an open-source testbed to evaluate segment-wise key-value cache reuse beyond exact prompt prefixes during language model serving. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on text LLM serving infrastructure without multimodal data.
From 2.1M Hours of Raw Broadcast Audio to Finnish Speech SSL: Confidence Filtering and Architectural Analysis at Scale Evaluates speech self-supervised learning models on Finnish broadcast audio using ASR confidence filtering and controlled architectural comparisons. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses exclusively on audio/speech SSL rather than joint multimodal vision-language models.
BenCoDiC: A Large-Scale Contextual Cyberbullying Corpus for Bengali Political News Discourse FULL VERSION Presents a multi-dimensional annotated corpus of Bengali political YouTube discussions to support research on contextual cyberbullying detection. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with textual commentary from YouTube, not multimodal model architectures.
Neurograf v1: An End-to-End Romanian-First Language Model Family Introduces an end-to-end open pipeline, pretraining corpus, and family of decoder-only models trained from scratch for Romanian. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant The models are unimodal text-based language models.
Les Misérables Dialogue: A film-based network representation of social communication Constructs a temporal and multilayer social dialogue network dataset based on the film adaptation of Les Misérables. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on text dialogue networks rather than multimodal foundation models.
SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents Proposes a reinforcement learning framework that tracks external versus internal knowledge sources to reduce search agent fabrication. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Centers on text-based search reasoning without multimodal inputs.
Scaling Agentic Data for Long-Horizon Terminal Intelligence Introduces a synthetic data generation framework to produce long-horizon task trajectories for terminal agents. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Operates on terminal text commands without vision or multimodal input.
PreSTO: Predictive Subtree Prefetching for Fast LLM Power Sampling Presents a predictive subtree prefetching method to accelerate power sampling for test-time language model reasoning. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Addresses text LLM sampling without multimodal modalities.
S$^3$R: Fast and Faithful RL Rollouts via Self-Sparse Speculative Decoding Introduces speculative decoding using self-sparse attention to speed up rollout generation during reinforcement learning. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Pertains strictly to language model attention decoding without multimodal data.
SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News Detection Proposes a prompt-guided text augmentation framework to assist fake news detection in low-resource settings. Peer-reviewed	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not involve multimodal models.
CAST: Credit Alignment for Cross-Tokenizer On-Policy Distillation Proposes a chunk-level credit assignment method for on-policy distillation across language models with different tokenizers. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not focus on multimodal architectures.
Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence Introduces a retrieval method combining token-level matching and document-level embeddings for memory-augmented language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not involve multimodal models or vision-language tasks.
Do Prompt Optimizers Break Requirements They Are Not Scored On? A Preregistered Study Evaluates whether automated prompt optimizers inadvertently cause regressions in unscored prompt constraints and requirements. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not focus on multimodal models.
Host-Aware Web Crawling for LLM Pretraining Data Studies host-level budget allocation and crawling policies to collect pretraining web data for language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not examine multimodal architectures or datasets.
Taking Tokenization off the Host for Agentic LLM Serving Develops a GPU-accelerated tokenizer using CUDA graphs to reduce time-to-first-token in agentic language model serving. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with text tokenization systems rather than multimodal architectures.
Test-Time Memory Construction Presents a framework that defers memory construction to test time to answer queries across long interaction histories. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not involve multimodal representations or models.
Overcoming Data Imbalances with Expert Selection Biases Proposes category-conditioned expert routing biases to mitigate data imbalance in mixture-of-experts language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Addresses token routing in MoE models generally, not multimodal architectures.
From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics Analyzes rubric construction mechanisms and introduces a tree-search method to refine rubrics for evaluating language model outputs. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not focus on multimodal inputs or models.
MoPrO-SD: Modular Prompt Optimization for Stance Detection Presents a modular prompt optimization framework and benchmark targeting stance detection in text. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with text stance detection without multimodal data.
Towards the Roof of the World: NLP Progress in Tibetan Languages Surveys twenty-two years of Tibetan natural language processing literature across corpora, speech processing, and language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses broadly on NLP for Tibetan rather than multimodal models.
Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR Investigates continual learning regularization techniques for speech recognition during domain adaptation on financial earnings calls. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses purely on speech recognition adaptation rather than multimodal LLMs.
Revisiting Accent Classification with DistilHuBERT: Speaker-Disjoint Evaluation and Cross-Corpus Generalization Evaluates DistilHuBERT-based accent classification under speaker-disjoint and cross-corpus conditions to measure generalization to unseen speakers. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not involve multimodal language-vision models.
Oído: Open-Vocabulary Speech Recognition on a $5 Microcontroller without a Neural Accelerator Implements open-vocabulary speech recognition on a low-cost ESP32-S3 microcontroller without dedicated neural accelerators. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses exclusively on audio/speech recognition on microcontrollers, not multimodal LLMs.
Towards Enriching Design-Time Models with Evidence from Simulation and Operational Activities Proposes a workflow to enrich design-time cyber-physical system models using empirical evidence collected from simulations and operational runs. Peer-reviewed	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not investigate multimodal language models.
A Better Metric Will Not Save You: What You Compare Beats How You Compare It Analyzes representational similarity metrics and demonstrates that input category selection has a larger impact on comparisons than the choice of metric. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not focus on multimodal architectures or vision-language integration.
Proactive Agentic Orchestration Introduces POrchestra, an agentic orchestration framework enabling sub-agents to proactively communicate with the orchestrator during dynamic execution. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Does not address multimodal or vision-language models.
Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution The paper analyzes the runtime performance differences of test-passing issue resolution patches generated by language models on SWE-bench. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Studies software engineering code patches without multimodal vision or audio components.
Measuring Artifact Reliance in Machine-Generated Text Detectors The paper demonstrates that machine-generated text detectors rely heavily on document formatting and PDF extraction artifacts rather than text quality. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Examines text detectors and PDF extraction artifacts without multimodal models.
zip2zip++: Towards Inference-Time Token Compression with Minimal Quality Loss The paper proposes compression-layer modifications to reduce accuracy loss when using dynamic LZW vocabularies during language model inference. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on text token compression and RoPE positioning without multimodal components.
BLiMPPI: Benchmark of Linguistic Minimal Pairs for Polarity Items The paper presents a multilingual benchmark of minimal pairs to evaluate language model sensitivity to negative polarity items across 33 languages. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on multilingual linguistic syntax and semantics without multimodal elements.
Training User Simulators with Latent Intrinsic Feedback The paper trains conversational user simulators equipped with latent evaluation thoughts and scalar ratings to provide intrinsic feedback. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Evaluates text-based dialogue interactions without incorporating multimodal inputs.
APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on agent tool interfaces and files rather than multimodal foundation models.
AMLworld-Compact: Importance-Weighted Downsampling for Cost-Effective LLM Evaluation and Error Diagnosis The paper presents an importance-weighted downsampling protocol to lower evaluation costs on transaction graph datasets without distorting precision metrics. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on graph-to-text prompt evaluations without vision, audio, or multimodal data.
Multi-Stream Attention Residuals The paper extends attention residuals across model depth by introducing multi-stream depth attention with causal convolutions. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Proposes a general backbone layer architecture rather than multimodal reasoning or VLMs.
Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science The paper evaluates linguistic obfuscation patterns and reality-monitoring mechanisms across fraudulent and genuine scientific publications. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Exclusively analyzes written scientific texts without multimodal elements.
Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph The paper evaluates knowledge-graph-informed chunking and retrieval strategies over German legal code to support verifiable retrieval-augmented generation. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Investigates text-based legal retrieval and reasoning without multimodal modalities.
Enhancing Legal Reasoning in Pre-trained Language Models via Knowledge Graph-Guided Multi-Task Pre-training The paper proposes multi-task pre-training guided by knowledge graphs to improve zero-shot legal reasoning in language models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Work is exclusively on text-based statutory legal documents without multimodal data.
Not Just an Evaluation: A Case Study of Discourse Particle Sensitivity in Language Models The paper studies language model sensitivity to discourse particles such as 'just' and 'only' in natural conversations. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Pertains strictly to natural language discourse analysis without multimodal integration.

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