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
Empathy Is Not the Scapegoat for Declines in Factuality and Reliability Examines whether model empathy degrades reliability, showing that warm behavior effects depend on tasks and training approaches rather than an inevitable trade-off. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals solely with text-based dialogue, not multimodal models.
Decomposing and Predicting Annotation Disagreement in Harmful Content Across Languages This paper predicts human annotator disagreement on harmful content across multiple languages by extracting interpretable semantic question features with models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text harmful-content classification, not multimodal models.
From Hindsight to Foresight: Dissecting Clinical Evidence Acquisition in Large Language Models This paper analyzes dynamic clinical evidence gathering in language models, identifying failures in evidence identification, updating, and diagnostic reasoning. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Does not investigate vision or multimodal models.
Legal-R1: Agentic Retrieval for Evidence-Based Legal Reasoning This paper introduces a multi-agent retrieval framework that coordinates search across legal statutes and precedent cases for grounded legal reasoning. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with textual legal reasoning and retrieval, not multimodal models.
Does Pretraining Teach Chemical Language Models Chemistry? This paper evaluates pretraining on chemical language models across 64 molecular datasets, finding that gains saturate below gradient-boosted tree baselines. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on chemical sequence models rather than vision or multimodal foundation models.
Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback This paper proposes a Bayesian method that infers task-aligned similarity metrics at test time using weak interactive feedback. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Does not involve multimodal models or vision-language data.
On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination This paper uses referential communication games to analyze why natural language autoencoders fail to provide discriminative oversight of model activations. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Theoretical study of language autoencoders, not multimodal vision-language systems.
Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports This paper evaluates language-model-generated disaster situation reports against human-written reports using a domain-specific sixteen-slot information schema. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals entirely with textual reports and statistics, not multimodal inputs.
Rubrics from the Task, Verdicts from Evidence: Pointwise Rubric Rewards with Tool-Augmented Judges This paper proposes a rubric-based reward model that derives criteria strictly from instructions and evaluates responses pointwise using tool assistance. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text evaluation and reward modeling, not multimodal models.
SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection This paper introduces a reinforcement learning scaffold that selectively injects textual skills into agents using low-cost utility estimation. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Operates strictly on textual skills and language interactions, not multimodal models.
The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement This paper frames Earth observation model development as an automated loop where coding agents build and iteratively refine models using verifiable harnesses. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with remote sensing imagery pipelines rather than general multimodal language models.
ClawLoop: Self-Improving Agents via Harness-Native Training Loop This paper introduces a training framework that enables harness-based software agents to self-improve without relying on external teacher models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Operates on text and shell environments, not multimodal image/video understanding.
Beyond Discrimination: Evaluating Probability Calibration in Radiomics-Image Fusion for Renal Cell Carcinoma Classification This paper evaluates whether combining radiomics with deep image representations improves probability calibration and discrimination in renal cancer classification models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Fuses medical CT imaging with radiomics, not general multimodal models.
Beyond Gate Weights: Decision-Level Interpretation of Radiomics-Image Feature Fusion for RCC Classification This paper analyzes decision logits in radiomics-image fusion models to distinguish gate weight values from actual feature contributions during cancer classification. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Fuses CT images with tabular radiomics, not general vision-language multimodal models.
Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation This paper introduces a coarse-to-fine text generation method using discrete code hierarchies to accelerate parallel sampling over diffusion language models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Applies strictly to discrete text generation, not multimodal inputs.
Unconstrained CTI-REALM with Open-Weights This paper evaluates open-weight language models against closed frontier models on a cybersecurity detection benchmark using an interactive telemetry environment. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with text and telemetry data rather than multimodal vision or audio.
Learnable Low-Rank Polynomial Sketch for Effective Linear Attention The paper proposes a learnable low-rank polynomial sketch to reduce approximation errors in linear attention mechanisms. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with core attention complexity rather than multimodal processing.
Harness^2: Recursive Agent Harnessing for an Open World The authors propose a two-level recursive self-improvement framework to evolve and refine execution harnesses for open-world agents. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Studies agent harnesses rather than multimodal vision-language models.
Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study The authors present a framework where autonomous agents iteratively refine data engineering strategies to improve model training outcomes. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Addresses text and math curricula, not multimodal models.
Controllable Diverse Sampling through Pullback Directions The paper proposes a training-free method leveraging pullback directions to increase sample diversity in conditional diffusion generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on diffusion sampling geometry rather than multimodal reasoning.
ConicFlow: constrained Inference-time optimal control for flow matching models The paper introduces a receding-horizon optimal control algorithm for constrained sampling in flow matching generative models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Concerns generative flow matching trajectories rather than multimodal reasoning.
MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction The authors present a feed-forward network that aggregates local wall predictions to reconstruct floor plans from sparse unposed panoramas. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on geometric computer vision rather than multimodal vision-language.
TraceSampler: Making Sampling Errors Predictable and Correctable for Accelerated Generative Sampling The paper introduces a post-training residual correction method to predict and correct endpoint errors during low-step generative model sampling. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Concerns image diffusion sampling rather than multimodal language reasoning.
Which Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions The authors run controlled experiments showing how parameter schema differences in metadata alter language model tool selection. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Examines text-based tool metadata, not multimodal vision-language models.
Scale, Drivers, and Limits of Representational Alignment Across Large Language Models The paper presents two geometric methods to evaluate where and why representational structures align across different large language models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses strictly on language models rather than multimodal architectures.
Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos The paper introduces an open-source agent framework that improves code-rendered explainer videos through program-level debugging, static rules, and unit testing. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Generates code for animation renderers rather than multimodal model architectures.
Compositional Concepts Erasing: Disentangling Object-Style via Domain Manifold Unlearning The paper presents a feature-proxy method to selectively erase combined object-style concepts from diffusion models without degrading general generative performance. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses specifically on image diffusion unlearning rather than multimodal understanding.
ScienceBuddy-PV: A Verifier-Governed Recursive Improvement Protocol for Panvascular Intervention Research The paper specifies a verifier-governed protocol for panvascular research and benchmarks a baseline model on intervention imaging tasks. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on medical image segmentation, not multimodal vision-language models.
Towards Merging-conditional Backdoor Unalignment against Large Language Models This paper demonstrates a security risk where dormant backdoors trigger safety failures only after merging models that passed individual safety audits. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on language model security rather than multimodal vision-language systems.
Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine This paper introduces an aligned language model family trained with structured reinforcement learning for clinical reasoning and traditional Chinese medicine prescribing. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses strictly on text-based clinical records and medical reasoning tasks.
Vela: User Behavior as Supervision Sparks LLM Intelligence This paper presents a framework that converts long-term real user behavior records into supervisory tasks to train personalization-focused language models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Addresses user history text logs, not multimodal vision-language models.
YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving This paper introduces a method to enable composable driving-style control in end-to-end autonomous driving planners using task vectors. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focus is on motion planning and style control in driving, not general VLM reasoning.
WorkBorne: Discovering Agentic Tasks from Real-World Artifact Transitions This paper presents a framework for discovering and synthesizing terminal-based agent tasks grounded in real-world artifact transitions. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text and terminal environments, not multimodal models.
SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications This paper introduces a benchmark that uses agent skill specifications to evaluate the reliability and procedural correctness of AI agents. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Does not investigate multimodal vision, audio, or document understanding architectures.
Predicting how model propensities generalize out of distribution This paper studies how language model behavioral propensities generalize out-of-distribution across different elicitation methods. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text language models and alignment traits, not multimodality.
What Survives When Activation Steering Is Used as Memory This paper evaluates the capabilities and limitations of using activation steering vectors as an agent memory mechanism. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Studies text-based activation steering without multimodal components.
AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery This paper trains language models using reinforcement learning to construct executable financial trading formulas grounded in research literature. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Processes text literature and symbolic expressions without multimodal inputs.
UltraBERT: Beyond the Limit of BERT Pre-Training This paper analyzes pretraining factors such as masking ratios and token budgets to optimize bidirectional transformer encoders. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses strictly on text-based bidirectional encoders, not multimodal models.
Toward System One Clinical Intelligence: Parameter-Efficient Fine-Tuning and Counterfactual Explainability of Decision Foundation Models This paper fine-tunes a quantized decision model to classify diseases from patient symptom descriptions without free-form text generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Processes text-only clinical symptoms rather than multimodal data.
Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses This paper fine-tunes language models to selectively correct speech recognition transcripts using curated candidate pools. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Presents text-based ASR transcript correction, not multimodal vision-language models.
Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++ This paper compares four deep learning segmentation models for detecting structures in dental radiographs under controlled experimental settings. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Studies traditional CNN vision segmentation without multimodal language reasoning.
Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions This paper presents a neuro-symbolic framework using language models and formal argumentation semantics to detect persuasiveness in online discussions. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses purely on text discourse, not multimodal image, audio, or video processing.
VLCQ: Post-training quantization for deep neural networks using variable length coding Introduces a variable-length coding method for post-training neural network quantization that maintains accuracy without retraining. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Covers post-training compression for vision backbones without multimodal language integration.
RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition Presents an enhanced convolutional neural network architecture for real-time traffic sign classification in autonomous driving applications. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on pure computer vision classification without cross-modal language components.
UDHRBench: Benchmarking Human Rights in Large Language Models Evaluates commercial language models against Universal Declaration of Human Rights principles, revealing misalignments driven by efficiency arguments. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses entirely on textual queries, not multimodal vision-language tasks.
Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models Studies how depth-based early-exit inference affects language model safety, finding shallow exits resist jailbreaks better than deep exits. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text language model inference, not multimodal architectures.
PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces Presents a multi-agent framework that decouples research planning, subquestion investigation, and factual verification via a shared semantic workspace. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with text search and reasoning corpora, not multimodal models.
Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning The paper introduces Sequent-Prover, training language model agents to perform multi-turn formal reasoning using an external SMT solver scratchpad. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Addresses formal language and text reasoning, not multimodal inputs.
GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision The paper presents GeoBridge, an evolutionary framework that searches for reusable, transferable decoder topologies across geometric vision tasks. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses purely on computer vision topologies, not multimodal vision-language models.
North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge The paper presents LENS, a benchmark evaluating language models on North Korean linguistic nuances, sociocultural perspectives, and domain knowledge. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Evaluates text-based question answering, not multimodal vision-language models.
Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images The paper proposes using subordinate color channel intensities in fluorescence microscopy to improve protein crystallization segmentation and classification. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Deals with standard computer vision on microscopy, not multimodal models.
Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation The paper presents Co-DSL, enabling users and language models to co-design reusable spatial concepts to guide layout generation solvers. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on domain-specific layout programs rather than multimodal vision-language models.
HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models The paper introduces a post-training quantization framework for autoregressive visual generation models to retain image quality under low precision. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on image generation quantization rather than multimodal perception or reasoning.
StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching The paper presents StimFlow, using conditional flow matching to synthesize fMRI brain activity directly in voxel space from visual stimuli. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Aligns visual features to fMRI brain scans rather than general multimodal vision-language tasks.
A Sovereign, Indic-First, Reasoning Model The paper presents a hybrid language model adapted for reasoning, instruction following, and tool use across English and eight Indian languages. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Text-only language model work, not multimodal.
In-Place Indic Tokenizer Expansion and Continual Pretraining of Nemotron-3-Nano-30B-A3B This paper details vocabulary expansion and continual pretraining techniques to adapt an open language model across eight Indic languages. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Text-only language model work with no multimodal inputs.
Sensitivity or Criterion? Measuring and Moving When Language Models Act This paper introduces a diagnostic framework using signal detection theory to measure when language model agents decide to use tools. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text-based tool decisions, not multimodal models.
Hidden in Plain Sight: Advancing Harmful Content Understanding via Perception-Aware Adversarial Self-Play This paper presents an adversarial self-play framework using multi-perceptual views to improve language model detection of obfuscated harmful text. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on safety evasion evasion rather than core multimodal reasoning.
REPRO: Reflective Evolutionary Prompt Optimizer for Automated LLM Red-Teaming This paper proposes a black-box evolutionary prompt optimization framework using a small open-weight model to discover adversarial jailbreaks against language models. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Focuses on text safety prompts, not multimodal models.
SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning This paper presents a structured pruning framework that decouples data-free neuron selection from localized weight reconstruction to reduce model memory requirements. Preprint	Multimodal models via arxiv · 15 Oct, 06:17	Not relevant Evaluated on text LLMs, not multimodal vision-language architectures.

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