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Newest papers, page 230
Predicting Emerging Topics from Outliers: A Prospective Study of Weak Signals in Embedding Space
Some documents that embedding-based topic models initially classify as noise later become founding members of emerging topics.EAGER: Enhancing Generative Event Extraction via Reinforcement Learning with Verifiable Rewards
End-to-end event extraction remains challenging for large language models as it requires simultaneous identification of event triggers, classification of event types, and extraction of…Post-Training Leaves Behavioral Shadows on Unrelated Decisions
We find that language models can transfer capabilities through task-unrelated text.No More Free Lunch: Corpus Task Complexity Matters as Corpora Grow
Given a large corpus, the questions one might ask can vary -- from "When was the first human heart transplant?" to "What are all the contradictory claims in this literature?" -- but what makes some…Policy as Code: A Coroutine-Bridge Harness for Fast-Reasoning Reliability on CAR-bench
CAR-bench evaluates whether tool-using agents stay reliable under real-world uncertainty, executing every tool inside the evaluator so that each tool-result exchange is a separate agent round-trip.pylazaro: a Python package for anglicism extraction in Spanish
Lexical borrowings are words from one language that are introduced into another language.Reasoning Instructions Can Break Answer Decoding in Vision--Language Models
Chain-of-thought (CoT) instructions can distort multiple-choice VLM evaluation when a scorer appends a reasoning cue but reads answer-label logits before the model generates any rationale.Grammatical "grandmother neurons" are rare in LLMs
Understanding how Large Language Models (LLMs) encode linguistic structures remains a fundamental challenge in interpretability research.Where LLM Graders Succeed and Break: Evidence from Two Computer-Science Exams
One long-form exam in a large course costs hundreds of grader-hours, and qualified graders are scarce; LLM graders are a tempting alternative.ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts
ArGuard is a shared task on harmful content detection in Arabic memes and LLM prompts.Parts-of-Speech as Emergent Categories in SAE Latent Space
Sparse AutoEncoders (SAEs) offer a promising way to inspect language model representations, but it is still unclear what kind of linguistic structure their latents expose.From Policy Documents to Structured Survey Responses: Evaluating Large Language Models for Policy Monitoring
Science, technology, and innovation policies are crucial for competitiveness, yet their diversity and scale make them difficult to map and monitor consistently.BanglaTurn: A Benchmark and Whisper-Based Model for End-of-Turn Detection in Bangla Speech
This paper presents BanglaTurn, a corpus for end-of-turn detection in Bangla conversational speech, and a model trained on it.Likelihood Ranking doesn't Scale Like Prompting in LLMs
LLM evaluation is commonly performed either by prompting models to produce answers or by scoring candidate outputs with likelihood-based metrics.Baseline Shape Decides the Verdict: A Controlled Re-Examination of Ternary Language Models at 60K Parameters
Ternary (1.58-bit) weights are attractive for microcontroller-class language models, but the sub-1M-parameter regime rests mainly on isolated, single-seed comparisons.Large Language Models for Programming: Actually Fixing or Reimplementing Incorrect Code?
Recent studies have shown that Large Language Models can effectively solve problems and fix bugs in diverse programming environments, including competitive programming.Controlling Backchannels in Streamable Full-duplex Models
Backchannels, brief acknowledgements like "uh-huh" produced while the other party may still be talking, are central to natural conversation, but full-duplex spoken dialogue models rarely model them…Rufus-Air: An Open LLM Post-Training Recipe
Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pipeline of eight stages: SFT, Reasoning RL, Coding RL, Instruction-Following RL…agentic-ger: terminology recovery in long-form speech using global context
Recent advances in speech language models have improved automatic speech recognition (ASR) for long-form audio.Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures
Detectors of alignment failures screen deployed language models and score alignment benchmarks.