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Computation & Language / NLP
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The newest 5,000 papers, from 18 September 2026 to 6 November 2026: 5,000 arXiv preprints.
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Newest papers, page 245
SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
Whole-slide pathology images (WSIs) contain gigapixel-scale visual content, creating a major scalability challenge for slide-level multimodal large language models (MLLMs).Human-LLM Deliberation as Interactive Proof: Conditions for Verifiability Without Transparency
When an LLM supplies an argument that a user could not readily construct, how can the user decide whether to accept its claim?ToneCL: Contrastive Learning for Few-Shot Syllable-Level Tone Classification
Tone languages constitute over 50-70% of the world's languages, but the vast majority are low-resource, lacking the large transcribed corpora needed for automatic tone classification.SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm
Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples that unite…Linguistic Features for Interpretable Textual Entailment
Despite the success of neural models in natural language processing, their black-box nature limits interpretability and conceals the linguistic phenomena underlying their predictions.Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
Scientific workflows often require choosing among known relations before a deterministic calculation can proceed.Emergent Collusion in Long-Horizon LLM Agent Interaction
LLM agents are increasingly deployed in collaborative settings, yet long-term interaction may give rise to undesirable coordination.DolphinBench: Mapping the Pareto Frontier of Agent Memory
Agents today often take real-world actions that depend on long-term memory and context recall over time.RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model.Harness-Zero: Harness Distillation via Agent-as-Harness
Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment.onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction
We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model…Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use
Multi-turn tool-use failures can hinge on a single model call, yet reward variation alone does not reveal which call would benefit from training.Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction
Real-time voice assistants must reason over evolving requests, execute actions, and follow conversational rules.From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health
The rising global prevalence of mental health conditions, together with longstanding barriers in traditional healthcare, such as limited resources, high cost, stigma, and privacy concerns, has…FinFIRST: Benchmarking Search Agents for Financial Information Retrieval, Sourcing and Traceability
Financial search is a highly demanding task for LLM agents, requiring not only a correct final answer but also temporally valid information retrieval, authoritative source selection, entity and…Trains but Doesn't Learn: A Post-Training Delivery Benchmark for LLM Agents as Forward-Deployed Engineers
Post-training is becoming a service (PTaaS): a customer hands an operator data and a goal, and a forward-deployed engineer (FDE) returns a fine-tuned, evaluated, and deployed model under a budget, a…FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditing
Cultural evaluation coverage and robustness in language models are difficult to diagnose because pretraining corpora and cultural benchmarks are rarely indexed with comparable metadata.TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks
Large language models (LLMs) offer great potential to automate a broad range of telecom engineering tasks by reasoning over standards, network configurations, mathematical models, source code, and…Passes Alone, Fails Together: Benchmarking Semantic Coordination in Parallel LLM-Agent Development
Parallel coding agents can produce patches that work alone but fail when merged.Efficient Iterative Retrieval with Heterogeneous Batching
Modern information retrieval increasingly employs both embedding and generative models to handle complex queries.