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Computation & Language / NLP
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Newest papers, page 28
Cross-Lingual Persona Effects in LLM Negotiation
Tell an LLM negotiator to be "headstrong" and it should hold firm on price, but does that instruction retain the same behavior in every language?Decentralized Multi-Agent Coordination and Communication in Shared Codebases
Coding agents working in shared repositories may receive separate, independently-motivated requests from human developers, creating a setting that is multi-agent by necessity.GAVAGAI: Referential Alignment for Infant-Scale Vision-Language Models via Balanced Optimal Transport
A child learns which words name which things from roughly 100 million words of input.One Waveform, Two Stories: Benchmarking Speech-Acoustic Conflict in Audio-Language Models
Audio-language models (ALMs) are evaluated on their understanding of both speech and environmental sounds.SPARK: Self-Correcting Embodied Memory via Physical Re-Observation
Retrieval-augmented generation (RAG) systems have seen growing adoption in embodied settings as language-queryable memories of the environment.Queering the Audits: Community-Based Auditing of AI Harms to Queer Communities
AI systems embed majority-group defaults into training data, evaluation metrics, and category definitions, producing documented harms for queer communities including erasure, misclassification, and…Cross-Prompt Reuse of Entity-Replacement Responses
With model weights fixed, we measure how much of an entity-replacement response transfers between English factual questions, beyond whether answers change.Humanized but Still True? Auditing Facts and Detection in AI-Text Humanizers
AI "humanizers" rewrite machine-generated text so that detectors classify it as human-written.Unlearning by Extrapolating a Shrink-and-Heal Lookahead
Unlearning aims to make a large language model behave like one retrained without its forget set.LF-VideoQA: Evaluating Long-Video Understanding with Long-Form Theory-of-Mind Questions
The hardest part of understanding a long video is not pinpointing any one moment but synthesizing many, e.g., answering a question that requires tracking what develops across hours of content and…Geometric and algebraic inference in humans and neural networks
Humans possess a remarkable ability to draw inferences from limited data.Circuit Oracle: Automating Attribution Graph Analysis via Natural-Language Queries
Attribution graphs, an emerging tool in mechanistic interpretability, use transcoders to decompose language model computations into sparse interpretable features connected by causal edges.Do Multimodal Models Decide Consistently on Equivalent Optical Spectra?
A spectrum can be given to a model as a table in nanometers or as a plot in photon energy, and the decision should not depend on which one it sees.Fidelity Collapses with Table Size, Not Turn Count: Delivery Architecture in a Deployed Tool-Using Agent
When a multi-turn agent delivers a tool's structured records into the model's context and re-emits them each turn, every turn can corrupt data the tool computed correctly.Quantiles, Not Points: Streaming Quantile Matching for Ordinal-Aware LLM-as-a-Judge Calibration
LLM-as-a-judge scores are often distributionally shifted from human ratings on any given evaluation task, and post-hoc calibration (mapping LLM to human scores in a small labeled anchor set) has…From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory
Retrieval-augmented generation (RAG) helps large language models (LLMs) answer factual questions beyond their training data, but it adds storage and inference costs.From Small to Large: Assessing Medical Reasoning, Benchmark Contamination, and Model Size in Language Models
Large language models (LLMs) now answer medical exam questions at or above expert level, but it is unclear whether such scores reflect clinical competence, or are instead affected by the format of…Steering Readerly Dynamics: Trajectory-Guided Story Generation with Large Language Models
Large language models (LLMs) are increasingly used to generate stories, but these stories struggle to reproduce engaging readerly dynamics, the evolving reader responses that shape narrative…HALO: Human-Grounded Granular Evaluation of Proactive Agents
Proactive agents must decide whether, when, and how far to assist without an explicit request.A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
In multi-output structured prediction tasks, while only one ground truth label may be provided in the training data, multiple equally valid outputs may be possible, making reliable evaluation a…