arXiv cs.CV Papers July 21, 2026

VOPE: Revisiting Hallucination of Vision-Language Models in Voluntary Imagination Task

arXiv:2511.13420v2 Announce Type: replace Abstract: Most research on hallucinations in Large Vision-Language Models (LVLMs) focuses on factual description tasks that prohibit any output absent from the…

arXiv cs.CL Papers July 21, 2026

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning

arXiv:2607.18142v1 Announce Type: cross Abstract: Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, which is crucial for modern…

arXiv cs.CL Papers July 21, 2026

Schema-Constrained Document-Level Event Argument Extraction with Lightweight LLM Fine-Tuning

arXiv:2607.16808v1 Announce Type: new Abstract: Event Argument Extraction (EAE) converts documents into structured event records by identifying argument spans and assigning them schema-defined roles. Document-level EAE…

arXiv cs.CL Papers July 21, 2026

RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation

arXiv:2607.16431v1 Announce Type: new Abstract: Small-scale language models (SLMs) are attractive for retrieval-augmented generation (RAG) in resource-constrained settings, but their limited capacity makes them highly sensitive…

arXiv cs.CL Papers July 21, 2026

Diagnosing Correctness Probes under Self-Judgement Confounding

arXiv:2607.16799v1 Announce Type: new Abstract: Hidden-state readouts can predict whether language-model outputs are correct, but objective correctness (OC) usually agrees with the model's own self-judgement (SJ),…

arXiv cs.CL Papers July 21, 2026

ChipChat: Low-Latency Cascaded Conversational Agent in MLX

arXiv:2509.00078v2 Announce Type: replace-cross Abstract: The emergence of large language models (LLMs) has transformed spoken dialog systems, yet the optimal architecture for real-time on-device voice agents…

arXiv cs.CL Papers July 21, 2026

Cascading versus Joint Modeling for Hierarchical Offensive Language Detection

arXiv:2607.16790v1 Announce Type: new Abstract: Fine-grained offensive language detection organizes labels into a hierarchical structure, for which two modeling paradigms exist: cascaded decomposition and joint multi-task…

arXiv cs.CL Papers July 21, 2026

MamaBench: Benchmarking LLM Robustness in Maternal and Child Health Diagnosis through Counterfactual Clinical Perturbation

arXiv:2607.14385v2 Announce Type: replace Abstract: Large language models achieve strong scores on medical benchmarks, yet these benchmarks evaluate each question in isolation, providing no measure of…

arXiv cs.CL Papers July 21, 2026

JOR-Bench: Japanese Operations Research Benchmarks for Large Language Models

arXiv:2607.16777v1 Announce Type: new Abstract: We present JOR-Bench, a collection of five Japanese-language benchmarks for evaluating the ability of large language models (LLMs) to formulate and…

arXiv cs.CL Papers July 21, 2026

On the Interpretability of Whisper Encodings Using Sparse Autoencoders

arXiv:2605.12225v2 Announce Type: replace Abstract: While deep transformer-based models have advanced rapidly, their internal mechanisms remain largely a mystery. Recent work has prioritized understanding text-based transformer…

arXiv cs.CL Papers July 21, 2026

Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation

arXiv:2607.16704v1 Announce Type: new Abstract: Large language models frequently violate fundamental scientific principles when generating technical content, undermining their reliability in scientific applications. We introduce Scientific…

arXiv cs.CL Papers July 21, 2026

Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAG

arXiv:2603.27752v2 Announce Type: replace Abstract: Large language models can still hallucinate in retrieval-augmented generation (RAG), producing claims that are unsupported by or conflict with the retrieved…

arXiv cs.CL Papers July 21, 2026

Committed Before Reasoning: Behavioral Reproduction and Preliminary Activation-Level Evidence of Answer Pre-Commitment in an Open-Weight LLM

arXiv:2607.16451v1 Announce Type: new Abstract: Chat models sometimes commit to an answer and then produce reasoning that justifies it rather than deriving it -- even when…

arXiv cs.CL Papers July 21, 2026

Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models

arXiv:2607.16549v1 Announce Type: new Abstract: Language models (LMs) are trained to excel at predicting the next word in the sequence given prior context, and humans also…

arXiv cs.CL Papers July 21, 2026

NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning

arXiv:2607.16603v1 Announce Type: new Abstract: This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition.…

arXiv cs.CL Papers July 21, 2026

OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research

arXiv:2607.16669v1 Announce Type: new Abstract: OpenLanguageModel (OLM) is an open-source PyTorch library for building and pretraining small language models while keeping their machinery visible. In OLM,…

arXiv cs.CL Papers July 21, 2026

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents

arXiv:2607.16621v1 Announce Type: new Abstract: Existing memory systems for long-horizon LLM agents often retrieve prior traces as passive context rather than converting them into executable capabilities.…

arXiv cs.CL Papers July 21, 2026

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs

arXiv:2607.16693v1 Announce Type: new Abstract: Large language models often succeed on one formulation of a problem while failing on an equivalent formulation. Whether these failures arise…

arXiv cs.CL Papers July 21, 2026

SpecLA: Efficient Speculative Decoding for Linear-Attention Models

arXiv:2607.16673v1 Announce Type: new Abstract: Linear-attention models replace the growing KV cache with recurrent states, but autoregressive decoding still reads, updates, and writes these states one…

arXiv cs.CL Papers July 21, 2026

The Illusion-Illusion: Vision Language Models See Illusions Where There Are None

arXiv:2412.18613v2 Announce Type: replace-cross Abstract: Illusions are entertaining, but they are also a useful diagnostic tool in cognitive science, philosophy, and neuroscience. A typical illusion shows…

arXiv cs.CL Papers July 21, 2026

Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders

arXiv:2607.04071v2 Announce Type: replace Abstract: Portuguese remains underrepresented in text embedding evaluation, despite being one of the most widely spoken languages in the world. As a…

arXiv cs.CL Papers July 21, 2026

L1 Augmented Attention as an Improved Vector Similarity Metric

arXiv:2607.18027v1 Announce Type: cross Abstract: Scaled dot product attention conflates directional alignment and vector magnitude, limiting its effectiveness as a similarity metric in Transformer models. We…

arXiv cs.CL Papers July 21, 2026

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering

arXiv:2606.17799v2 Announce Type: replace-cross Abstract: Coding agents have become a major mode of software engineering, but the benchmarks we use to compare them were designed in…

arXiv cs.CL Papers July 21, 2026

LogicIF: Towards Complex Logic Instruction Following

arXiv:2508.09125v3 Announce Type: replace Abstract: Instruction following has catalyzed the recent era of Large Language Models (LLMs) and is the foundational skill underpinning more advanced capabilities…