Daily digest — 2026-09-10

YouTube (10)

Papers (10)

  • Enhancing Human-Like Responses in Large Language Models — Ethem Yağız Çalık; Talha Rüzgar Akkuş This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study evaluates various approaches,…
  • Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model’s Personality — Yiming Ai; Zhiwei He; Ziyin Zhang; Wenhong Zhu; Hongkun Hao; Kai Yu; Lingjun Chen; Rui Wang In this study, we delve into the validity of conventional personality questionnaires in capturing the human-like personality traits of Large Language Models (LLMs). Our objective is to assess the congruence between the personality traits LLMs claim to possess and their…
  • Large Language Models Lack Understanding of Character Composition of Words — Andrew Shin; Kunitake Kaneko Large language models (LLMs) have demonstrated remarkable performances on a wide range of natural language tasks. Yet, LLMs’ successes have been largely restricted to tasks concerning words, sentences, or documents, and it remains questionable how much they understand the…
  • RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents — Imad Aouali; Flavian Vasile; Otmane Sakhi; Alexandre Gilotte; Benjamin Heymann LLM recommendation agents increasingly produce structured recommendation reports: sets of items accompanied by natural-language justifications. Yet existing evaluations often reduce this setting to reranking small shortlisted candidate sets or judge reports mainly by semantic…
  • Agents at Risk: How Users Unwittingly Undermine LLM Safety — Fengchao Chen; Tingmin Wu; Van Nguyen; Surya. Nepal; Carsten Rudolph Large language model (LLM)-based agents are increasingly deployed in applications, such as trip-planning agents and web-use agents, to perform complex planning and execution tasks. Prior work has shown that LLM-based agents are vulnerable to context confusion, where external…
  • Uncertainty Decomposition for Clarification Seeking in LLM Agents — Gregory Matsnev Recent position papers argue that the classical aleatoric/epistemic uncertainty framework is insufficient for interactive large language model (LLM) agents and call for underspecification-aware, decomposed, and communicable uncertainty representations that can unlock new…
  • Triplet Loss for Knowledge Distillation — Hideki Oki; Motoshi Abe; Junichi Miyao; Takio Kurita In recent years, deep learning has spread rapidly, and deeper, larger models have been proposed. However, the calculation cost becomes enormous as the size of the models becomes larger. Various techniques for compressing the size of the models have been proposed to improve…
  • DistillLens: Symmetric Knowledge Distillation Through Logit Lens — Manish Dhakal; Uthman Jinadu; Anjila Budathoki; Rajshekhar Sunderraman; Yi Ding Standard Knowledge Distillation (KD) compresses Large Language Models (LLMs) by optimizing final outputs, yet it typically treats the teacher’s intermediate layer’s thought process as a black box. While feature-based distillation attempts to bridge this gap, existing methods…
  • Densely Distilling Cumulative Knowledge for Continual Learning — Zenglin Shi; Pei Liu; Tong Su; Yunpeng Wu; Kuien Liu; Yu Song; Meng Wang Continual learning, involving sequential training on diverse tasks, often faces catastrophic forgetting. While knowledge distillation-based approaches exhibit notable success in preventing forgetting, we pinpoint a limitation in their ability to distill the cumulative…
  • AR-RAG: Autoregressive Retrieval Augmentation for Image Generation — Jingyuan Qi; Zhiyang Xu; Qifan Wang; Lifu Huang We introduce Autoregressive Retrieval Augmentation (AR-RAG), a novel paradigm that enhances image generation by autoregressively incorporating knearest neighbor retrievals at the patch level. Unlike prior methods that perform a single, static retrieval before generation and…

Hacker News (10)