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.

PaperTopicRelevanceFeedback
Neither True nor False: Do LLMs Represent Truth-Value Gaps in Plural Predication?
The paper introduces HomogeneityNLI to evaluate whether open-weight language models recognise truth-value gaps in plural predication.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Analyzes natural language sentences without multimodal capabilities.
Evaluating Semantic Relation Knowledge through Bidirectional Relation Prediction from Gloss Pairs
The paper introduces a bidirectional gloss-pair prediction task to evaluate semantic relation knowledge across multiple languages in language models.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Covers text gloss pairs across languages without multimodal components.
Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk
The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Pertains strictly to code and execution environments, not multimodality.
Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks
This paper audits Chinese language models for bias and error propagation across formal and ironic social registers.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Analyzes text classification registers without multimodal inputs.
EdgeLLM-Nano: Auditing Polar-Guided Key-Cache Compression and Consistency-Anchored Pruning on a 33.6 MB On-Device Language Model
This paper audits key-cache compression and weight pruning techniques on a small edge-deployed language model testbed.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Investigates text language model caches, not multimodal systems.
Query-Adaptive Neuron Steering for LLMs
This paper proposes a framework that dynamically steers internal language model neurons based on query-induced activation patterns.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Studies text language models, not multimodal inputs.
Reward-Aligned Distillation
This paper presents a bilevel distillation method that weights teacher supervision tokens based on their predicted impact on student reward.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Operates entirely on text-based math reasoning without multimodality.
Uniform Information Density-Based Preference Optimization
This paper proposes a preference optimization algorithm grounded in uniform information density theory to align language model outputs.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Studies text alignment without multimodal inputs or outputs.
Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems
This paper audits gender and stereotypical bias in multilingual job-matching embedding models using robust statistical tests.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Audits text embedding models, not multimodal systems.
The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval
This paper audits request independence in open Jev-style retrieval models across multi-passage query states.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text passage retrieval without multimodal inputs.
Amharic-English Cross-Language Question Answering Using Statistical Machine Translation, Named Entity Recognition, and Semantic Indexing
This paper presents a bidirectional Amharic-English cross-language question answering system using machine translation, entity recognition, and semantic indexing.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Processes text documents without multimodal features.
The Constitution Speaks Nheengatu: An Open MT System and Reproducible Corpus Pipeline for the Amazonian Língua Geral
This paper releases an open parallel corpus, speech evaluation set, and translation models for Portuguese and the Amazonian language Nheengatu.
Peer-reviewed
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text and speech translation corpus, not multimodal model reasoning.
Who Receives Respect? A Counterfactual Benchmark for Honorific Allocation Bias in Bengali
This paper introduces a counterfactual benchmark to evaluate honorific register allocation bias across gender and occupations in English-to-Bengali translation.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text translation analysis without multimodal data.
Training-Free BioNEL-RAG: Advancing Biomedical Entity Linking through Retrieval-Augmented Generation and Large Language Model
This paper introduces a training-free retrieval-augmented generation framework for biomedical named entity linking to improve cross-domain adaptability.
Peer-reviewed
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals with biomedical text without multimodal components.
Dependency Reasoning for Aspect Sentiment Quadruple Prediction
This paper injects linearized dependency parse trees into language model prompts to improve aspect sentiment quadruple prediction.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Examines text sentiment prediction without multimodal elements.
Social Bias in Chinese Large Language Models under Social Media Expressions
This paper evaluates social bias in Chinese language models across social media expressions, internet slang, and sarcastic packaging.
Peer-reviewed
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses solely on text-based Chinese social media expressions.
Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction
This paper investigates an agent framework that selectively queries expert judgments for borderline emotion-cause pairs to improve extraction accuracy.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text extraction task without visual, audio, or multimodal components.
Description Complexity Bounds for Analytic Approximations of Lipschitz Functions
This paper derives theoretical description complexity bounds for approximating one-dimensional Lipschitz functions using elementary analytic expression trees.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Pure mathematical function approximation with no multimodal aspects.
TeachGrade: Training-Free Short Answer Scoring with Teacher Evidence
This paper proposes a training-free framework that uses teacher-graded examples and dual memories to improve automated short answer grading.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on textual short-answer scoring without multimodal input.
FidelityQ: Preserving Predictive Fidelity in Ultra-Low-Bit Language Model Quantization
This paper introduces a scalar quantization method using analytic coding to preserve language model predictive fidelity at precisions down to two bits.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on language model quantization without multimodal components.
Do Personalized LLMs Need the Whole Conversation? Matching the Full History with Only 5% of Its Text via Relevance-Filtered Context
This paper demonstrates that sentence-level relevance retrieval can match full conversation history accuracy in personalized language models using only five percent context.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals strictly with text conversation histories.
HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention
This paper introduces a discrete Hodge decomposition method to separate semantic flow transitions within transformer attention mechanisms.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Theoretical attention paper without cross-modal multimodal integration.
What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)
This paper examines how content matching, retrieval mechanics, and model knowledge affect web page citations in generative search engines.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text-based web search citation dynamics.
PAT: A Personality-Driven Augmentation and Transfer Learning Framework for Depression Detection on Social Media
This paper presents a personality-driven augmentation and contrastive learning framework to improve depression detection from social media posts.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Processes text posts without multimodal data integration.
RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs
The paper introduces an information extraction benchmark for extracting structured regulatory fields and source provenance from dense environmental policy documents.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals purely with regulatory text extraction without visual modality.
Lumen-bench: Cross-Lingual Safety Gaps and the Say-Do Problem in Tool-Calling Large Language Models
The paper introduces a multilingual benchmark evaluating safety and discrepancies between verbal refusals and tool actions in tool-calling language models.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text and tool-calling benchmark without multimodal components.
Compute-Optimal Scaling Laws for Spiking Language Models
The paper presents an empirical scaling law study measuring parameter and compute trade-offs in spiking neural network language models.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text language modeling without multimodal components.
Where Did We Go Wrong? Localizing Errors to Repair Multi-Turn Conversations
The paper presents a framework to probabilistically localize user-intent misinterpretations and repair conversational states in multi-turn assistant systems.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Addresses text dialogue interactions without multimodal processing.
Learning Proposition-Level Links from Sentence-Level Supervision for Neuro-Symbolic NLI
The paper proposes a trainable proposition linker that learns atom-level semantic links from sentence-level supervision for neuro-symbolic inference.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Studies propositional text linking without multimodal inputs.
Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry
The paper introduces a benchmark evaluating how multi-agent teams develop communication protocols under asymmetric information and restricted communication channels.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on communicative interaction rather than multimodal vision-language models.
Active Learning for Finding a Needle in a Haystack
The paper evaluates whether active learning strategies can overcome initial selection biases when identifying rare document classes in large text corpora.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Uses text document corpora without multimodal integration.
Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity
The paper investigates whether word-aligned prosodic speech measurements reflect speaker identity traits more strongly than depression or PTSD severity.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Studies acoustic prosody analysis rather than multimodal vision-language models.
SAFE-KV: Causal Suffix Repair for Behavior-Preserving Non-Prefix KV Cache Reuse in RAG
The paper presents a repair method that re-encodes causal suffixes to enable safe non-prefix KV-cache reuse in retrieval-augmented generation.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text document KV caches without multimodal inputs.
Do LLMs differentiate linguistic traits internally?: A layer-wise analysis
The paper conducts layer-wise representational analysis to determine how language models internally distinguish conventional meanings from idiomatic traits.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Analyzes text models without image, audio, or video modalities.
Do correct answers have stable latent knowledge support?
The paper proposes stability metrics to measure whether correct outputs in language models are backed by stable internal knowledge representations.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Evaluates text-based models across factual queries without multimodal inputs.
From Candidate Tokens to Final Outcomes: Decoding Relative Long-Horizon Candidate Value from Reasoning Model Representations
The paper constructs a dataset to show that relative candidate token value in multi-step reasoning is linearly decodable from model representations.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Analyzes text reasoning hidden states without multimodal capabilities.
AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning
The paper introduces a reinforcement learning framework that trains tool-using agents to generate and refine financial alpha factor formulas.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals with financial text and market data, not multimodal VLMs.
Concept Representations in Vector Space: Quantifying Sharedness and Idiosyncrasy of Meaning
The paper develops a measurement framework using sentence embeddings to quantify shared versus individual-specific variation in concept definitions.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Investigates text embeddings without multimodal vision or audio inputs.
A Step in the Right Place: Understanding and Optimizing Timestep Placement in Continuous Diffusion Language Models
The paper introduces an algorithm to optimize denoising timestep placement in continuous diffusion language models to improve generation quality.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on diffusion for text generation without multimodal inputs.
An Interpretable Linguistically-Grounded Analysis of Scene Saliency in Movie Screenplays
The paper evaluates whether uniform information density and specific linguistic features predict salient scenes in movie screenplays.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses purely on text screenplay analysis without multimodal processing.
The Fragility and Dynamics of LLM Pruning-Recovery Steps
The paper analyzes how pruning and subsequent recovery stages interact, finding instruction-following collapses earlier than domain knowledge during model compression.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Addresses standard text LLM compression without multimodal data.
Towards Robust Calibration Dataset for Domain-General Mixture of Experts Pruning
The paper studies how calibration dataset size, language, and data distribution affect post-training expert pruning in mixture-of-experts models.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Evaluates language models without multimodal text-image-audio inputs.
The Gradient That Top-k Distillation Never Computes
The paper analyzes gradient dynamics in top-k distillation, showing that renormalization prevents optimization along directions controlling tail token probabilities.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Studies language model token vocabulary distillation without multimodality.
Feedback as an Interface: Controlling Form and Detail in LLM Translation Refinement
The paper investigates how varying the detail and format of feedback affects machine translation refinement in large language models.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses entirely on text translation without multimodal inputs.
Rate-Resolved Text Evaluation with Masked Diffusion Language Models
The paper introduces rate-resolved text evaluation to turn masking rates in diffusion language models into diagnostic scores for text assessment.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Evaluates text models, without multimodal capabilities.
The Mathematical Collective Unconscious: Jungian Archetypes within the Latent Space
The paper examines whether large language model embedding spaces naturally form semantic clusters resembling Jungian archetypes using synthetic and human-authored texts.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text embeddings, not multimodal systems.
Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop
This paper synthesizes literature on educational language models to evaluate whether tutoring systems measurably improve student learning gains.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Reviews dialogue tutoring systems, not multimodal models.
Generalizable Model Editing Could Be More Than Direct Generalization
The authors analyze limitations in direct model editing benchmarks and compare them against observed generalization in practical chat settings.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text LLM editing, not multimodal models.
Preserving Updates in Low-Bit Recurrent State Quantization
This paper proposes a low-rank bypass to accumulate small updates and reduce compounding errors in quantized recurrent model states.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on recurrent model states, not multimodal tasks.
TL;QR: Querying Temporal Discursive Patterns in Textual Corpora
TL;QR pairs language-model passage judgments with a symbolic temporal logic engine to track evolving patterns in textual corpora.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text-only query system, no multimodal data.
NepPlural: A Human-Anchored Benchmark for Persona Annotation in Nepali Migration Discourse
NepPlural provides an annotated benchmark of Nepali discourse to evaluate how reliably language models capture diverse socio-cultural personas.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Examines text comments only, without multimodal components.
Enhancing Zero-Shot Domain Transfer in Low-Resource Sentiment Analysis: A Case Study in Marathi
This paper studies multi-domain training setups to improve zero-shot sentiment classification transfer across unseen domains in Marathi.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals strictly with text datasets.
Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approaches
The authors evaluate domain-adaptive pretraining and back-translation data augmentation to improve sentiment classification in Marathi.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Text-only classification study.
RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution
RSIPO introduces a reinforcement learning framework where agentic skills and policy models co-evolve using self-extracted trajectory experience.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on policy optimization, not multimodal models.
Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap
This work analyzes whether policy capability gaps or judge models dictate reward hacking when training models against language-model judges.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Exclusively considers text LLMs and text judges.
Heterogeneous Structured Pruning Under Resource Constraints for Hardware-Efficient Large Language Models
Heterogeneous Structured Pruning selects sublayer-specific sparsity patterns guided by latency and memory models for hardware-efficient inference.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Evaluates text LLMs, not multimodal architectures.
Local Citation Recommendation Without Graph Signals
The paper introduces a dataset and citation recommendation system that retrieves relevant scientific papers without relying on citation graphs.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Processes textual papers only, no multimodal content.
Latent Taxonomies: How Property Induction Develops in Language Model Pre-training
This study analyzes how category-based property induction emerges in language models during pretraining using a synthetic hierarchical taxonomy.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Investigates textual taxonomies only, not multimodal data.
KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims
The authors present a multilingual dense retrieval and reranking framework to link scientific web claims to their source publications.
Peer-reviewed
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Deals exclusively with text and metadata.
Binding Phoneme Identity to Position in Neural Models and the Human Brain
The study tests whether neural models bind phoneme identity to serial position using state direction and magnitude representations.
Preprint
Multimodal models
via arxiv · 15 Oct, 06:18
Not relevant
Focuses on text and phonemes, not multimodal models.
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