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Computation & Language / NLP
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Newest papers, page 178
AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning
Long-horizon LLM agents are typically trained with sparse outcome rewards, making trajectory-level objectives too coarse to distinguish the contribution of individual decisions.Collective Bias Mitigation via Model Routing and Collaboration
Large language models (LLMs) are increasingly deployed in public health, finance, and governance, requiring both accuracy and societal value alignment.Shrome at Touché: Soft-Vote Ensembling and Counter-Causal Augmentation for Causality Extraction
Touché 2026 extends causality extraction to counter-causal claims: news sentences whose surface form appears causal but whose meaning denies the causation, as in "It is falsely believed that X…To Jev or Not? Evaluating the Accuracy and Efficiency of Structured Decision Models for Hate-Speech Moderation
The scale of online content makes hate-speech moderation challenging, while Large Language Models (LLMs) enable harmful material to be produced and adapted more easily.SyntaxBench: A Statistical Diagnostic Framework for Character-Level Reasoning in Large Language Models
Large language models are increasingly used where small syntactic errors matter, yet character-level reasoning is still evaluated mostly through isolated probes and aggregate accuracy.Multilingual GSM-Symbolic: What determines capability transfer across languages?
We understand little about how capabilities acquired in one language carry over to another, or what governs this transfer: evaluations rely on incomparable, saturation-prone datasets and rarely…Benchmarking candidate coverage and rejection policy transfer in typed decision models
Rejection policies must remain useful as candidate sets and tasks change.CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retrieval-Augmented Generation
Multimodal large language models (MLLMs) have shown strong visual reasoning abilities, but knowledge-intensive visual question answering often requires external textual evidence beyond the image and…Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents
LLM agents increasingly screen tool outputs with small prompt-injection detectors, and teams choose among detectors by their scores on public benchmarks.A Near-Zero Monitor Readout Is Not Evidence of Behavioral Control
Post-training with verifiable rewards can induce reward hacking, motivating the use of monitors within the training objective rather than solely for offline auditing.Single-Pass Uncertainty Heads for Claim-Level Hallucination Detection in Persian Medical Language Models
Hallucination detection is particularly important for medical language models, but repeated-sampling approaches are expensive and existing uncertainty-head resources do not directly transfer to a…Learning from Repaired Reasoning: Root-Cause-Guided On-Policy Distillation
On-policy self-distillation (OPSD) uses reference solutions as privileged hindsight to supervise student-generated reasoning trajectories.Structured Composition of Verifiable Atomic Insights for Table-to-Report Generation
Table-to-report generation refers to the task of automatically generating article-level analyt- ical reports from relational tables and is an essential capability for automated data science and…Divergence controls entropy in distillation
Distillation has become a core primitive of large language model training, but its properties are not yet well understood.Author Representation Strategies for Zero-Shot Authorship Attribution: A Comparative Study of LLM-Based and Embedding-Based Approaches
Authorship Attribution (AA) requires capturing fine-grained stylistic characteristics, making it particularly challenging in zero-shot (ZS) settings where no task-specific supervision is available.Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift
We describe the Writerslogic systems for three PAN at CLEF 2026 shared tasks (Reasoning Trajectory Detection, Voight-Kampff Generative AI Detection, and Multi-Author Writing Style Analysis), unified…Writerslogic at the CLEF 2026 SimpleText Track: Multi-Candidate LLM Simplification and Stacked Complexity Spotting
We describe the Writerslogic team's participation in the CLEF 2026 SimpleText shared task, addressing Task 1 (text simplification) and Task 2 (complexity spotting).FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Generation for NL2SQL Pairs
Relational databases are among the most widely deployed forms of structured knowledge, and natural language access to them requires grounding language onto schema entities and relations while…World Embedding Benchmark
Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood.Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models
Masked diffusion language models (dLMs) offer a promising parallel alternative to autoregressive models for complex reasoning.